# Finance Analytics

- [Acumatica](/finance-analytics/finance-analytics/acumatica.md): This page contains the setup guide and reference information for the Acumatica source connector.
- [Connection Steps](/finance-analytics/finance-analytics/acumatica/connection-steps.md): This section explains how to connect Lyftrondata to Acumatica.
- [Destinations](/finance-analytics/finance-analytics/acumatica/destination.md): This section contains information about the destinations that Acumatica supports.
- [Prerequisite](/finance-analytics/finance-analytics/acumatica/prerequisite.md): This section describes the prerequisites for connecting Acumatica to Lyftrondata. To complete the prerequisites, the user must have admin access to Acumatica.
- [Data Model](/finance-analytics/finance-analytics/acumatica/data-model.md): This section describes the details of Acumatica ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/acumatica/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/acumatica/data-model/tables.md): This section contain information about acumatica connector tables information
- [Views](/finance-analytics/finance-analytics/acumatica/data-model/views.md): This section contain information about acumatica connector views information
- [Driver Framework](/finance-analytics/finance-analytics/acumatica/driver-framework.md): This page contains the setup guide and reference information for the Acumatica source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/acumatica/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/acumatica/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/acumatica/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/acumatica/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/acumatica/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/acumatica/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/acumatica/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [AccumaticaOdataERP](/finance-analytics/finance-analytics/acumatica-odata-erp.md): This page contains the setup guide and reference information for the AcumaticaOdataERP source connector.
- [Connection Steps](/finance-analytics/finance-analytics/acumatica-odata-erp/connection-steps.md): This section explains how to connect Lyftrondata to AcumaticaOdataERP.
- [Destinations](/finance-analytics/finance-analytics/acumatica-odata-erp/destination.md): This section contains information about the destinations that AcumaticaOdataERP supports.
- [Prerequisite](/finance-analytics/finance-analytics/acumatica-odata-erp/prerequisite.md): This section describes the prerequisites for connecting Acumatica to Lyftrondata. To complete the prerequisites, the user must have admin access to Acumatica.
- [Data Model](/finance-analytics/finance-analytics/acumatica-odata-erp/data-model.md): This section describes the details of AcumaticaOdataERP ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/acumatica-odata-erp/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/acumatica-odata-erp/data-model/tables.md): This section contain information about acumatica connector tables information
- [Views](/finance-analytics/finance-analytics/acumatica-odata-erp/data-model/views.md): This section contain information about acumatica connector views information
- [Driver Framework](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework.md): This page contains the setup guide and reference information for the AcumaticaOdataERP source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/acumatica-odata-erp/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Adp Run](/finance-analytics/finance-analytics/adp-run.md): This page contains the setup guide and reference information for the Adp Run source connector.
- [Connection Steps](/finance-analytics/finance-analytics/adp-run/connection-steps.md): This section explains how to connect Lyftrondata to Adp Run.
- [Destinations](/finance-analytics/finance-analytics/adp-run/destination.md): This section contains information about the destinations that Adp Run supports.
- [Prerequisite](/finance-analytics/finance-analytics/adp-run/prerequisite.md): This section describes the prerequisites for connecting Adp Run to Lyftrondata. To complete the prerequisites, the user must have admin access to Adp Run.
- [Data Model](/finance-analytics/finance-analytics/adp-run/data-model.md): This section describes the details of Adp Run ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/adp-run/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/adp-run/data-model/tables.md): This section contain information about adp-run connector tables information
- [Views](/finance-analytics/finance-analytics/adp-run/data-model/views.md): This section contain information about adp-run connector views information
- [Driver Framework](/finance-analytics/finance-analytics/adp-run/driver-framework.md): This page contains the setup guide and reference information for the Adp Run source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/adp-run/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/adp-run/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/adp-run/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/adp-run/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/adp-run/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/adp-run/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/adp-run/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Adp Smart Compliance](/finance-analytics/finance-analytics/adp-smart-compliance.md): This page contains the setup guide and reference information for the Adp Smart Compliance source connector.
- [Connection Steps](/finance-analytics/finance-analytics/adp-smart-compliance/connection-steps.md): This section explains how to connect Lyftrondata to Adp Smart Compliance.
- [Destinations](/finance-analytics/finance-analytics/adp-smart-compliance/destination.md): This section contains information about the destinations that Adp Smart Compliance supports.
- [Prerequisite](/finance-analytics/finance-analytics/adp-smart-compliance/prerequisite.md): This section describes the prerequisites for connecting Adp Smart Compliance to Lyftrondata. To complete the prerequisites, the user must have admin access to Adp Smart Compliance.
- [Data Model](/finance-analytics/finance-analytics/adp-smart-compliance/data-model.md): This section describes the details of Adp Smart Compliance ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/adp-smart-compliance/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/adp-smart-compliance/data-model/tables.md): This section contain information about adp-smart-compliance connector tables information
- [Views](/finance-analytics/finance-analytics/adp-smart-compliance/data-model/views.md): This section contain information about adp-smart-compliance connector views information
- [Driver Framework](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework.md): This page contains the setup guide and reference information for the Adp Smart Compliance source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/adp-smart-compliance/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Adp Taxcredit](/finance-analytics/finance-analytics/adp-taxcredit.md): This page contains the setup guide and reference information for the Adp Taxcredit source connector.
- [Connection Steps](/finance-analytics/finance-analytics/adp-taxcredit/connection-steps.md): This section explains how to connect Lyftrondata to Adp Taxcredit.
- [Destinations](/finance-analytics/finance-analytics/adp-taxcredit/destination.md): This section contains information about the destinations that Adp Taxcredit supports.
- [Prerequisite](/finance-analytics/finance-analytics/adp-taxcredit/prerequisite.md): This section describes the prerequisites for connecting Adp Taxcredit to Lyftrondata. To complete the prerequisites, the user must have admin access to Adp Taxcredit.
- [Data Model](/finance-analytics/finance-analytics/adp-taxcredit/data-model.md): This section describes the details of Adp Taxcredit ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/adp-taxcredit/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/adp-taxcredit/data-model/tables.md): This section contain information about adp-taxcredit connector tables information
- [Views](/finance-analytics/finance-analytics/adp-taxcredit/data-model/views.md): This section contain information about adp-taxcredit connector views information
- [Driver Framework](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework.md): This page contains the setup guide and reference information for the Adp Taxcredit source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/adp-taxcredit/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Adp](/finance-analytics/finance-analytics/adp.md): This page contains the setup guide and reference information for the Adp source connector.
- [Connection Steps](/finance-analytics/finance-analytics/adp/connection-steps.md): This section explains how to connect Lyftrondata to Adp.
- [Destinations](/finance-analytics/finance-analytics/adp/destination.md): This section contains information about the destinations that Adp supports.
- [Prerequisite](/finance-analytics/finance-analytics/adp/prerequisite.md): This section describes the prerequisites for connecting Adp to Lyftrondata. To complete the prerequisites, the user must have admin access to Adp.
- [Data Model](/finance-analytics/finance-analytics/adp/data-model.md): This section describes the details of Adp ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/adp/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/adp/data-model/tables.md): This section contain information about adp connector tables information
- [Views](/finance-analytics/finance-analytics/adp/data-model/views.md): This section contain information about adp connector views information
- [Driver Framework](/finance-analytics/finance-analytics/adp/driver-framework.md): This page contains the setup guide and reference information for the Adp source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/adp/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/adp/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/adp/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/adp/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/adp/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/adp/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/adp/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Appnexus](/finance-analytics/finance-analytics/appnexus.md): This page contains the setup guide and reference information for the Appnexus source connector.
- [Connection Steps](/finance-analytics/finance-analytics/appnexus/connection-steps.md): This section explains how to connect Lyftrondata to Appnexus.
- [Destinations](/finance-analytics/finance-analytics/appnexus/destination.md): This section contains information about the destinations that Appnexus supports.
- [Prerequisite](/finance-analytics/finance-analytics/appnexus/prerequisite.md): This section describes the prerequisites for connecting Appnexus to Lyftrondata. To complete the prerequisites, the user must have admin access to Appnexus.
- [Data Model](/finance-analytics/finance-analytics/appnexus/data-model.md): This section describes the details of Appnexus ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/appnexus/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/appnexus/data-model/tables.md): This section contain information about appnexus connector tables information
- [Views](/finance-analytics/finance-analytics/appnexus/data-model/views.md): This section contain information about appnexus connector views information
- [Driver Framework](/finance-analytics/finance-analytics/appnexus/driver-framework.md): This page contains the setup guide and reference information for the Appnexus source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/appnexus/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/appnexus/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/appnexus/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/appnexus/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/appnexus/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/appnexus/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/appnexus/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Avatax](/finance-analytics/finance-analytics/avatax.md): This page contains the setup guide and reference information for the Avatax source connector.
- [Connection Steps](/finance-analytics/finance-analytics/avatax/connection-steps.md): This section explains how to connect Lyftrondata to Avatax.
- [Destinations](/finance-analytics/finance-analytics/avatax/destination.md): This section contains information about the destinations that Avatax supports.
- [Prerequisite](/finance-analytics/finance-analytics/avatax/prerequisite.md): This section describes the prerequisites for connecting Avatax to Lyftrondata. To complete the prerequisites, the user must have admin access to Avatax.
- [Data Model](/finance-analytics/finance-analytics/avatax/data-model.md): This section describes the details of Avatax ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/avatax/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/avatax/data-model/tables.md): This section contain information about avatax connector tables information
- [Views](/finance-analytics/finance-analytics/avatax/data-model/views.md): This section contain information about avatax connector views information
- [Driver Framework](/finance-analytics/finance-analytics/avatax/driver-framework.md): This page contains the setup guide and reference information for the Avatax source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/avatax/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/avatax/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/avatax/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/avatax/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/avatax/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/avatax/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/avatax/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Bigcommerce](/finance-analytics/finance-analytics/bigcommerce.md): This page contains the setup guide and reference information for the Bigcommerce source connector.
- [Connection Steps](/finance-analytics/finance-analytics/bigcommerce/connection-steps.md): This section explains how to connect Lyftrondata to Bigcommerce.
- [Destinations](/finance-analytics/finance-analytics/bigcommerce/destination.md): This section contains information about the destinations that Bigcommerce supports.
- [Prerequisite](/finance-analytics/finance-analytics/bigcommerce/prerequisite.md): This section describes the prerequisites for connecting Bigcommerce to Lyftrondata. To complete the prerequisites, the user must have admin access to Bigcommerce.
- [Data Model](/finance-analytics/finance-analytics/bigcommerce/data-model.md): This section describes the details of Bigcommerce ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/bigcommerce/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/bigcommerce/data-model/tables.md): This section contain information about bigcommerce connector tables information
- [Views](/finance-analytics/finance-analytics/bigcommerce/data-model/views.md): This section contain information about bigcommerce connector views information
- [Driver Framework](/finance-analytics/finance-analytics/bigcommerce/driver-framework.md): This page contains the setup guide and reference information for the Bigcommerce source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/bigcommerce/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/bigcommerce/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/bigcommerce/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/bigcommerce/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/bigcommerce/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/bigcommerce/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/bigcommerce/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Billsbay](/finance-analytics/finance-analytics/billsbay.md): This page contains the setup guide and reference information for the Billsbay source connector.
- [Connection Steps](/finance-analytics/finance-analytics/billsbay/connection-steps.md): This section explains how to connect Lyftrondata to Billsbay.
- [Destinations](/finance-analytics/finance-analytics/billsbay/destination.md): This section contains information about the destinations that Billsbay supports.
- [Prerequisite](/finance-analytics/finance-analytics/billsbay/prerequisite.md): This section describes the prerequisites for connecting Billsbay to Lyftrondata. To complete the prerequisites, the user must have admin access to Billsbay.
- [Data Model](/finance-analytics/finance-analytics/billsbay/data-model.md): This section describes the details of Billsbay ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/billsbay/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/billsbay/data-model/tables.md): This section contain information about billsbay connector tables information
- [Views](/finance-analytics/finance-analytics/billsbay/data-model/views.md): This section contain information about billsbay connector views information
- [Driver Framework](/finance-analytics/finance-analytics/billsbay/driver-framework.md): This page contains the setup guide and reference information for the Billsbay source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/billsbay/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/billsbay/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/billsbay/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/billsbay/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/billsbay/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/billsbay/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/billsbay/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Blackbaud Fe Nxt](/finance-analytics/finance-analytics/blackbaud-fe-nxt.md): This page contains the setup guide and reference information for the Blackbaud Fe Nxt source connector.
- [Connection Steps](/finance-analytics/finance-analytics/blackbaud-fe-nxt/connection-steps.md): This section explains how to connect Lyftrondata to Blackbaud Fe Nxt.
- [Destinations](/finance-analytics/finance-analytics/blackbaud-fe-nxt/destination.md): This section contains information about the destinations that Blackbaud Fe Nxt supports.
- [Prerequisite](/finance-analytics/finance-analytics/blackbaud-fe-nxt/prerequisite.md): This section describes the prerequisites for connecting Blackbaud Fe Nxt to Lyftrondata. To complete the prerequisites, the user must have admin access to Blackbaud Fe Nxt.
- [Data Model](/finance-analytics/finance-analytics/blackbaud-fe-nxt/data-model.md): This section describes the details of Blackbaud Fe Nxt ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/blackbaud-fe-nxt/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/blackbaud-fe-nxt/data-model/tables.md): This section contain information about blackbaud-fe-nxt connector tables information
- [Views](/finance-analytics/finance-analytics/blackbaud-fe-nxt/data-model/views.md): This section contain information about blackbaud-fe-nxt connector views information
- [Driver Framework](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework.md): This page contains the setup guide and reference information for the Blackbaud Fe Nxt source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/blackbaud-fe-nxt/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Codat](/finance-analytics/finance-analytics/codat.md): This page contains the setup guide and reference information for the Codat source connector.
- [Connection Steps](/finance-analytics/finance-analytics/codat/connection-steps.md): This section explains how to connect Lyftrondata to Codat.
- [Destinations](/finance-analytics/finance-analytics/codat/destination.md): This section contains information about the destinations that Codat supports.
- [Prerequisite](/finance-analytics/finance-analytics/codat/prerequisite.md): This section describes the prerequisites for connecting Codat to Lyftrondata. To complete the prerequisites, the user must have admin access to Codat.
- [Data Model](/finance-analytics/finance-analytics/codat/data-model.md): This section describes the details of Codat ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/codat/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/codat/data-model/tables.md): This section contain information about codat connector tables information
- [Views](/finance-analytics/finance-analytics/codat/data-model/views.md): This section contain information about codat connector views information
- [Driver Framework](/finance-analytics/finance-analytics/codat/driver-framework.md): This page contains the setup guide and reference information for the Codat source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/codat/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/codat/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/codat/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/codat/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/codat/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/codat/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/codat/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Dynamics 365 Business Central](/finance-analytics/finance-analytics/dynamics-365-business-central.md): This page contains the setup guide and reference information for the Dynamics 365 Business Central source connector.
- [Connection Steps](/finance-analytics/finance-analytics/dynamics-365-business-central/connection-steps.md): This section explains how to connect Lyftrondata to Dynamics 365 Business Central.
- [Destinations](/finance-analytics/finance-analytics/dynamics-365-business-central/destination.md): This section contains information about the destinations that Dynamics 365 Business Central supports.
- [Prerequisite](/finance-analytics/finance-analytics/dynamics-365-business-central/prerequisite.md): This section describes the prerequisites for connecting Dynamics 365 Business Central to Lyftrondata. To complete the prerequisites, the user must have admin access to Dynamics 365 Business Central.
- [Data Model](/finance-analytics/finance-analytics/dynamics-365-business-central/data-model.md): This section describes the details of Dynamics 365 Business Central ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/dynamics-365-business-central/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/dynamics-365-business-central/data-model/tables.md): This section contain information about dynamics-365-business-central connector tables information
- [Views](/finance-analytics/finance-analytics/dynamics-365-business-central/data-model/views.md): This section contain information about dynamics-365-business-central connector views information
- [Driver Framework](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework.md): This page contains the setup guide and reference information for the Dynamics 365 Business Central source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/dynamics-365-business-central/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Dynamics 365 Finance](/finance-analytics/finance-analytics/dynamics-365-finance.md): This page contains the setup guide and reference information for the Dynamics 365 Finance source connector.
- [Connection Steps](/finance-analytics/finance-analytics/dynamics-365-finance/connection-steps.md): This section explains how to connect Lyftrondata to Dynamics 365 Finance.
- [Destinations](/finance-analytics/finance-analytics/dynamics-365-finance/destination.md): This section contains information about the destinations that Dynamics 365 Finance supports.
- [Prerequisite](/finance-analytics/finance-analytics/dynamics-365-finance/prerequisite.md): This section describes the prerequisites for connecting Dynamics 365 Finance to Lyftrondata. To complete the prerequisites, the user must have admin access to Dynamics 365 Finance.
- [Data Model](/finance-analytics/finance-analytics/dynamics-365-finance/data-model.md): This section describes the details of Dynamics 365 Finance ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/dynamics-365-finance/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/dynamics-365-finance/data-model/tables.md): This section contain information about dynamics-365-finance connector tables information
- [Views](/finance-analytics/finance-analytics/dynamics-365-finance/data-model/views.md): This section contain information about dynamics-365-finance connector views information
- [Driver Framework](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework.md): This page contains the setup guide and reference information for the Dynamics 365 Finance source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/dynamics-365-finance/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Dynamics 365 Project Operations](/finance-analytics/finance-analytics/dynamics-365-project-operations.md): This page contains the setup guide and reference information for the Dynamics 365 Project Operations source connector.
- [Connection Steps](/finance-analytics/finance-analytics/dynamics-365-project-operations/connection-steps.md): This section explains how to connect Lyftrondata to Dynamics 365 Project Operations.
- [Destinations](/finance-analytics/finance-analytics/dynamics-365-project-operations/destination.md): This section contains information about the destinations that Dynamics 365 Project Operations supports.
- [Prerequisite](/finance-analytics/finance-analytics/dynamics-365-project-operations/prerequisite.md): This section describes the prerequisites for connecting Dynamics 365 Project Operations to Lyftrondata. To complete the prerequisites, the user must have admin access to Dynamics 365 Project Operation
- [Data Model](/finance-analytics/finance-analytics/dynamics-365-project-operations/data-model.md): This section describes the details of Dynamics 365 Project Operations ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/dynamics-365-project-operations/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/dynamics-365-project-operations/data-model/tables.md): This section contain information about dynamics-365-project-operations connector tables information
- [Views](/finance-analytics/finance-analytics/dynamics-365-project-operations/data-model/views.md): This section contain information about dynamics-365-project-operations connector views information
- [Driver Framework](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework.md): This page contains the setup guide and reference information for the Dynamics 365 Project Operations source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/dynamics-365-project-operations/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Epicor Erp](/finance-analytics/finance-analytics/epicor-erp.md): This page contains the setup guide and reference information for the Epicor Erp source connector.
- [Connection Steps](/finance-analytics/finance-analytics/epicor-erp/connection-steps.md): This section explains how to connect Lyftrondata to Epicor Erp.
- [Destinations](/finance-analytics/finance-analytics/epicor-erp/destination.md): This section contains information about the destinations that Epicor Erp supports.
- [Prerequisite](/finance-analytics/finance-analytics/epicor-erp/prerequisite.md): This section describes the prerequisites for connecting Epicor Erp to Lyftrondata. To complete the prerequisites, the user must have admin access to Epicor Erp.
- [Data Model](/finance-analytics/finance-analytics/epicor-erp/data-model.md): This section describes the details of Epicor Erp ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/epicor-erp/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/epicor-erp/data-model/tables.md): This section contain information about epicor-erp connector tables information
- [Views](/finance-analytics/finance-analytics/epicor-erp/data-model/views.md): This section contain information about epicor-erp connector views information
- [Driver Framework](/finance-analytics/finance-analytics/epicor-erp/driver-framework.md): This page contains the setup guide and reference information for the Epicor Erp source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/epicor-erp/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/epicor-erp/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/epicor-erp/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/epicor-erp/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/epicor-erp/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/epicor-erp/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/epicor-erp/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Erp Next](/finance-analytics/finance-analytics/erp-next.md): This page contains the setup guide and reference information for the Erp Next source connector.
- [Connection Steps](/finance-analytics/finance-analytics/erp-next/connection-steps.md): This section explains how to connect Lyftrondata to Erp Next.
- [Destinations](/finance-analytics/finance-analytics/erp-next/destination.md): This section contains information about the destinations that Erp Next supports.
- [Prerequisite](/finance-analytics/finance-analytics/erp-next/prerequisite.md): This section describes the prerequisites for connecting Erp Next to Lyftrondata. To complete the prerequisites, the user must have admin access to Erp Next.
- [Data Model](/finance-analytics/finance-analytics/erp-next/data-model.md): This section describes the details of Erp Next ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/erp-next/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/erp-next/data-model/tables.md): This section contain information about erp-next connector tables information
- [Views](/finance-analytics/finance-analytics/erp-next/data-model/views.md): This section contain information about erp-next connector views information
- [Driver Framework](/finance-analytics/finance-analytics/erp-next/driver-framework.md): This page contains the setup guide and reference information for the Erp Next source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/erp-next/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/erp-next/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/erp-next/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/erp-next/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/erp-next/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/erp-next/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/erp-next/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Exact Online](/finance-analytics/finance-analytics/exact-online.md): This page contains the setup guide and reference information for the Exact Online source connector.
- [Connection Steps](/finance-analytics/finance-analytics/exact-online/connection-steps.md): This section explains how to connect Lyftrondata to Exact Online.
- [Destinations](/finance-analytics/finance-analytics/exact-online/destination.md): This section contains information about the destinations that Exact Online supports.
- [Prerequisite](/finance-analytics/finance-analytics/exact-online/prerequisite.md): This section describes the prerequisites for connecting Exact Online to Lyftrondata. To complete the prerequisites, the user must have admin access to Exact Online.
- [Data Model](/finance-analytics/finance-analytics/exact-online/data-model.md): This section describes the details of Exact Online ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/exact-online/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/exact-online/data-model/tables.md): This section contain information about exact-online connector tables information
- [Views](/finance-analytics/finance-analytics/exact-online/data-model/views.md): This section contain information about exact-online connector views information
- [Driver Framework](/finance-analytics/finance-analytics/exact-online/driver-framework.md): This page contains the setup guide and reference information for the Exact Online source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/exact-online/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/exact-online/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/exact-online/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/exact-online/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/exact-online/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/exact-online/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/exact-online/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Financial Force](/finance-analytics/finance-analytics/financial-force.md): This page contains the setup guide and reference information for the Financial Force source connector.
- [Connection Steps](/finance-analytics/finance-analytics/financial-force/connection-steps.md): This section explains how to connect Lyftrondata to Financial Force.
- [Destinations](/finance-analytics/finance-analytics/financial-force/destination.md): This section contains information about the destinations that Financial Force supports.
- [Prerequisite](/finance-analytics/finance-analytics/financial-force/prerequisite.md): This section describes the prerequisites for connecting Financial Force to Lyftrondata. To complete the prerequisites, the user must have admin access to Financial Force.
- [Data Model](/finance-analytics/finance-analytics/financial-force/data-model.md): This section describes the details of Financial Force ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/financial-force/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/financial-force/data-model/tables.md): This section contain information about financial-force connector tables information
- [Views](/finance-analytics/finance-analytics/financial-force/data-model/views.md): This section contain information about financial-force connector views information
- [Driver Framework](/finance-analytics/finance-analytics/financial-force/driver-framework.md): This page contains the setup guide and reference information for the Financial Force source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/financial-force/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/financial-force/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/financial-force/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/financial-force/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/financial-force/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/financial-force/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/financial-force/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Financials Cloud](/finance-analytics/finance-analytics/financials-cloud.md): This page contains the setup guide and reference information for the Financials Cloud source connector.
- [Connection Steps](/finance-analytics/finance-analytics/financials-cloud/connection-steps.md): This section explains how to connect Lyftrondata to Financials Cloud.
- [Destinations](/finance-analytics/finance-analytics/financials-cloud/destination.md): This section contains information about the destinations that Financials Cloud supports.
- [Prerequisite](/finance-analytics/finance-analytics/financials-cloud/prerequisite.md): This section describes the prerequisites for connecting Financials Cloud to Lyftrondata. To complete the prerequisites, the user must have admin access to Financials Cloud.
- [Data Model](/finance-analytics/finance-analytics/financials-cloud/data-model.md): This section describes the details of Financials Cloud ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/financials-cloud/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/financials-cloud/data-model/tables.md): This section contain information about financials-cloud connector tables information
- [Views](/finance-analytics/finance-analytics/financials-cloud/data-model/views.md): This section contain information about financials-cloud connector views information
- [Driver Framework](/finance-analytics/finance-analytics/financials-cloud/driver-framework.md): This page contains the setup guide and reference information for the Financials Cloud source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/financials-cloud/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/financials-cloud/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/financials-cloud/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/financials-cloud/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/financials-cloud/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/financials-cloud/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/financials-cloud/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Fresh Desk](/finance-analytics/finance-analytics/fresh-desk.md): This page contains the setup guide and reference information for the Fresh Desk source connector.
- [Connection Steps](/finance-analytics/finance-analytics/fresh-desk/connection-steps.md): This section explains how to connect Lyftrondata to Fresh Desk.
- [Destinations](/finance-analytics/finance-analytics/fresh-desk/destination.md): This section contains information about the destinations that Fresh Desk supports.
- [Prerequisite](/finance-analytics/finance-analytics/fresh-desk/prerequisite.md): This section describes the prerequisites for connecting Fresh Desk to Lyftrondata. To complete the prerequisites, the user must have admin access to Fresh Desk.
- [Data Model](/finance-analytics/finance-analytics/fresh-desk/data-model.md): This section describes the details of Fresh Desk ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/fresh-desk/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/fresh-desk/data-model/tables.md): This section contain information about fresh-desk connector tables information
- [Views](/finance-analytics/finance-analytics/fresh-desk/data-model/views.md): This section contain information about fresh-desk connector views information
- [Driver Framework](/finance-analytics/finance-analytics/fresh-desk/driver-framework.md): This page contains the setup guide and reference information for the Fresh Desk source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/fresh-desk/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/fresh-desk/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/fresh-desk/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/fresh-desk/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/fresh-desk/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/fresh-desk/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/fresh-desk/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Freshbook](/finance-analytics/finance-analytics/freshbook.md): This page contains the setup guide and reference information for the Freshbook source connector.
- [Connection Steps](/finance-analytics/finance-analytics/freshbook/connection-steps.md): This section explains how to connect Lyftrondata to Freshbook.
- [Destinations](/finance-analytics/finance-analytics/freshbook/destination.md): This section contains information about the destinations that Freshbook supports.
- [Prerequisite](/finance-analytics/finance-analytics/freshbook/prerequisite.md): This section describes the prerequisites for connecting Freshbook to Lyftrondata. To complete the prerequisites, the user must have admin access to Freshbook.
- [Data Model](/finance-analytics/finance-analytics/freshbook/data-model.md): This section describes the details of Freshbook ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/freshbook/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/freshbook/data-model/tables.md): This section contain information about freshbook connector tables information
- [Views](/finance-analytics/finance-analytics/freshbook/data-model/views.md): This section contain information about freshbook connector views information
- [Driver Framework](/finance-analytics/finance-analytics/freshbook/driver-framework.md): This page contains the setup guide and reference information for the Freshbook source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/freshbook/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/freshbook/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/freshbook/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/freshbook/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/freshbook/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/freshbook/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/freshbook/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Freshbooks](/finance-analytics/finance-analytics/freshbooks.md): This page contains the setup guide and reference information for the Freshbooks source connector.
- [Connection Steps](/finance-analytics/finance-analytics/freshbooks/connection-steps.md): This section explains how to connect Lyftrondata to Freshbooks.
- [Destinations](/finance-analytics/finance-analytics/freshbooks/destination.md): This section contains information about the destinations that Freshbooks supports.
- [Prerequisite](/finance-analytics/finance-analytics/freshbooks/prerequisite.md): This section describes the prerequisites for connecting Freshbooks to Lyftrondata. To complete the prerequisites, the user must have admin access to Freshbooks.
- [Data Model](/finance-analytics/finance-analytics/freshbooks/data-model.md): This section describes the details of Freshbooks ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/freshbooks/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/freshbooks/data-model/tables.md): This section contain information about freshbooks connector tables information
- [Views](/finance-analytics/finance-analytics/freshbooks/data-model/views.md): This section contain information about freshbooks connector views information
- [Driver Framework](/finance-analytics/finance-analytics/freshbooks/driver-framework.md): This page contains the setup guide and reference information for the Freshbooks source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/freshbooks/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/freshbooks/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/freshbooks/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/freshbooks/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/freshbooks/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/freshbooks/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/freshbooks/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Gusto](/finance-analytics/finance-analytics/gusto.md): This page contains the setup guide and reference information for the Gusto  source connector.
- [Connection Steps](/finance-analytics/finance-analytics/gusto/connection-steps.md): This section explains how to connect Lyftrondata to Gusto .
- [Destinations](/finance-analytics/finance-analytics/gusto/destination.md): This section contains information about the destinations that Gusto  supports.
- [Prerequisite](/finance-analytics/finance-analytics/gusto/prerequisite.md): This section describes the prerequisites for connecting Gusto  to Lyftrondata. To complete the prerequisites, the user must have admin access to Gusto .
- [Data Model](/finance-analytics/finance-analytics/gusto/data-model.md): This section describes the details of Gusto  ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/gusto/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/gusto/data-model/tables.md): This section contain information about gusto- connector tables information
- [Views](/finance-analytics/finance-analytics/gusto/data-model/views.md): This section contain information about gusto- connector views information
- [Driver Framework](/finance-analytics/finance-analytics/gusto/driver-framework.md): This page contains the setup guide and reference information for the Gusto  source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/gusto/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/gusto/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/gusto/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/gusto/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/gusto/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/gusto/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/gusto/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Highrise](/finance-analytics/finance-analytics/highrise.md): This page contains the setup guide and reference information for the Highrise source connector.
- [Connection Steps](/finance-analytics/finance-analytics/highrise/connection-steps.md): This section explains how to connect Lyftrondata to Highrise.
- [Destinations](/finance-analytics/finance-analytics/highrise/destination.md): This section contains information about the destinations that Highrise supports.
- [Prerequisite](/finance-analytics/finance-analytics/highrise/prerequisite.md): This section describes the prerequisites for connecting Highrise to Lyftrondata. To complete the prerequisites, the user must have admin access to Highrise.
- [Data Model](/finance-analytics/finance-analytics/highrise/data-model.md): This section describes the details of Highrise ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/highrise/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/highrise/data-model/tables.md): This section contain information about highrise connector tables information
- [Views](/finance-analytics/finance-analytics/highrise/data-model/views.md): This section contain information about highrise connector views information
- [Driver Framework](/finance-analytics/finance-analytics/highrise/driver-framework.md): This page contains the setup guide and reference information for the Highrise source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/highrise/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/highrise/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/highrise/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/highrise/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/highrise/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/highrise/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/highrise/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Humanity](/finance-analytics/finance-analytics/humanity.md): This page contains the setup guide and reference information for the Humanity source connector.
- [Connection Steps](/finance-analytics/finance-analytics/humanity/connection-steps.md): This section explains how to connect Lyftrondata to Humanity.
- [Destinations](/finance-analytics/finance-analytics/humanity/destination.md): This section contains information about the destinations that Humanity supports.
- [Prerequisite](/finance-analytics/finance-analytics/humanity/prerequisite.md): This section describes the prerequisites for connecting Humanity to Lyftrondata. To complete the prerequisites, the user must have admin access to Humanity.
- [Data Model](/finance-analytics/finance-analytics/humanity/data-model.md): This section describes the details of Humanity ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/humanity/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/humanity/data-model/tables.md): This section contain information about humanity connector tables information
- [Views](/finance-analytics/finance-analytics/humanity/data-model/views.md): This section contain information about humanity connector views information
- [Driver Framework](/finance-analytics/finance-analytics/humanity/driver-framework.md): This page contains the setup guide and reference information for the Humanity source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/humanity/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/humanity/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/humanity/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/humanity/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/humanity/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/humanity/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/humanity/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Intacct](/finance-analytics/finance-analytics/intacct.md): This page contains the setup guide and reference information for the Intacct source connector.
- [Connection Steps](/finance-analytics/finance-analytics/intacct/connection-steps.md): This section explains how to connect Lyftrondata to Intacct.
- [Destinations](/finance-analytics/finance-analytics/intacct/destination.md): This section contains information about the destinations that Intacct supports.
- [Prerequisite](/finance-analytics/finance-analytics/intacct/prerequisite.md): This section describes the prerequisites for connecting Intacct to Lyftrondata. To complete the prerequisites, the user must have admin access to Intacct.
- [Data Model](/finance-analytics/finance-analytics/intacct/data-model.md): This section describes the details of Intacct ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/intacct/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/intacct/data-model/tables.md): This section contain information about intacct connector tables information
- [Views](/finance-analytics/finance-analytics/intacct/data-model/views.md): This section contain information about intacct connector views information
- [Driver Framework](/finance-analytics/finance-analytics/intacct/driver-framework.md): This page contains the setup guide and reference information for the Intacct source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/intacct/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/intacct/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/intacct/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/intacct/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/intacct/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/intacct/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/intacct/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Invoiced](/finance-analytics/finance-analytics/invoiced.md): This page contains the setup guide and reference information for the Invoiced source connector.
- [Connection Steps](/finance-analytics/finance-analytics/invoiced/connection-steps.md): This section explains how to connect Lyftrondata to Invoiced.
- [Destinations](/finance-analytics/finance-analytics/invoiced/destination.md): This section contains information about the destinations that Invoiced supports.
- [Prerequisite](/finance-analytics/finance-analytics/invoiced/prerequisite.md): This section describes the prerequisites for connecting Invoiced to Lyftrondata. To complete the prerequisites, the user must have admin access to Invoiced.
- [Data Model](/finance-analytics/finance-analytics/invoiced/data-model.md): This section describes the details of Invoiced ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/invoiced/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/invoiced/data-model/tables.md): This section contain information about invoiced connector tables information
- [Views](/finance-analytics/finance-analytics/invoiced/data-model/views.md): This section contain information about invoiced connector views information
- [Driver Framework](/finance-analytics/finance-analytics/invoiced/driver-framework.md): This page contains the setup guide and reference information for the Invoiced source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/invoiced/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/invoiced/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/invoiced/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/invoiced/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/invoiced/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/invoiced/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/invoiced/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Iva](/finance-analytics/finance-analytics/iva.md): This page contains the setup guide and reference information for the Iva source connector.
- [Connection Steps](/finance-analytics/finance-analytics/iva/connection-steps.md): This section explains how to connect Lyftrondata to Iva.
- [Destinations](/finance-analytics/finance-analytics/iva/destination.md): This section contains information about the destinations that Iva supports.
- [Prerequisite](/finance-analytics/finance-analytics/iva/prerequisite.md): This section describes the prerequisites for connecting Iva to Lyftrondata. To complete the prerequisites, the user must have admin access to Iva.
- [Data Model](/finance-analytics/finance-analytics/iva/data-model.md): This section describes the details of Iva ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/iva/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/iva/data-model/tables.md): This section contain information about iva connector tables information
- [Views](/finance-analytics/finance-analytics/iva/data-model/views.md): This section contain information about iva connector views information
- [Driver Framework](/finance-analytics/finance-analytics/iva/driver-framework.md): This page contains the setup guide and reference information for the Iva source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/iva/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/iva/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/iva/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/iva/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/iva/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/iva/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/iva/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Kincone](/finance-analytics/finance-analytics/kincone.md): This page contains the setup guide and reference information for the Kincone source connector.
- [Connection Steps](/finance-analytics/finance-analytics/kincone/connection-steps.md): This section explains how to connect Lyftrondata to Kincone.
- [Destinations](/finance-analytics/finance-analytics/kincone/destination.md): This section contains information about the destinations that Kincone supports.
- [Prerequisite](/finance-analytics/finance-analytics/kincone/prerequisite.md): This section describes the prerequisites for connecting Kincone to Lyftrondata. To complete the prerequisites, the user must have admin access to Kincone.
- [Data Model](/finance-analytics/finance-analytics/kincone/data-model.md): This section describes the details of Kincone ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/kincone/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/kincone/data-model/tables.md): This section contain information about kincone connector tables information
- [Views](/finance-analytics/finance-analytics/kincone/data-model/views.md): This section contain information about kincone connector views information
- [Driver Framework](/finance-analytics/finance-analytics/kincone/driver-framework.md): This page contains the setup guide and reference information for the Kincone source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/kincone/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/kincone/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/kincone/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/kincone/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/kincone/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/kincone/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/kincone/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Mendix](/finance-analytics/finance-analytics/mendix.md): This page contains the setup guide and reference information for the Mendix source connector.
- [Connection Steps](/finance-analytics/finance-analytics/mendix/connection-steps.md): This section explains how to connect Lyftrondata to Mendix.
- [Destinations](/finance-analytics/finance-analytics/mendix/destination.md): This section contains information about the destinations that Mendix supports.
- [Prerequisite](/finance-analytics/finance-analytics/mendix/prerequisite.md): This section describes the prerequisites for connecting Mendix to Lyftrondata. To complete the prerequisites, the user must have admin access to Mendix.
- [Data Model](/finance-analytics/finance-analytics/mendix/data-model.md): This section describes the details of Mendix ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/mendix/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/mendix/data-model/tables.md): This section contain information about mendix connector tables information
- [Views](/finance-analytics/finance-analytics/mendix/data-model/views.md): This section contain information about mendix connector views information
- [Driver Framework](/finance-analytics/finance-analytics/mendix/driver-framework.md): This page contains the setup guide and reference information for the Mendix source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/mendix/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/mendix/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/mendix/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/mendix/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/mendix/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/mendix/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/mendix/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Myob](/finance-analytics/finance-analytics/myob.md): This page contains the setup guide and reference information for the Myob source connector.
- [Prerequisite](/finance-analytics/finance-analytics/myob/prerequisite.md): This section describes the prerequisites for connecting Myob to Lyftrondata. To complete the prerequisites, the user must have admin access to Myob.
- [Connection Steps](/finance-analytics/finance-analytics/myob/connection-steps.md): This section explains how to connect Lyftrondata to Myob.
- [Destinations](/finance-analytics/finance-analytics/myob/destination.md): This section contains information about the destinations that Myob supports.
- [Data Model](/finance-analytics/finance-analytics/myob/data-model.md): This section describes the details of Myob ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/myob/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/myob/data-model/tables.md): This section contain information about myob connector tables information
- [Views](/finance-analytics/finance-analytics/myob/data-model/views.md): This section contain information about myob connector views information
- [Driver Framework](/finance-analytics/finance-analytics/myob/driver-framework.md): This page contains the setup guide and reference information for the Myob source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/myob/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/myob/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/myob/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/myob/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/myob/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/myob/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/myob/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Nethunt](/finance-analytics/finance-analytics/nethunt.md): This page contains the setup guide and reference information for the Nethunt source connector.
- [Connection Steps](/finance-analytics/finance-analytics/nethunt/connection-steps.md): This section explains how to connect Lyftrondata to Nethunt.
- [Destinations](/finance-analytics/finance-analytics/nethunt/destination.md): This section contains information about the destinations that Nethunt supports.
- [Prerequisite](/finance-analytics/finance-analytics/nethunt/prerequisite.md): This section describes the prerequisites for connecting Nethunt to Lyftrondata. To complete the prerequisites, the user must have admin access to Nethunt.
- [Data Model](/finance-analytics/finance-analytics/nethunt/data-model.md): This section describes the details of Nethunt ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/nethunt/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/nethunt/data-model/tables.md): This section contain information about nethunt connector tables information
- [Views](/finance-analytics/finance-analytics/nethunt/data-model/views.md): This section contain information about nethunt connector views information
- [Driver Framework](/finance-analytics/finance-analytics/nethunt/driver-framework.md): This page contains the setup guide and reference information for the Nethunt source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/nethunt/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/nethunt/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/nethunt/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/nethunt/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/nethunt/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/nethunt/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/nethunt/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Netsuite](/finance-analytics/finance-analytics/netsuite-erp.md): This page contains the setup guide and reference information for the Netsuite Erp source connector.
- [Prerequisite](/finance-analytics/finance-analytics/netsuite-erp/prerequisite.md): This section describes the prerequisites for connecting Netsuite Erp to Lyftrondata. To complete the prerequisites, the user must have admin access to Netsuite Erp.
- [Permission Configurations](/finance-analytics/finance-analytics/netsuite-erp/prerequisite/permission-configurations.md): In NetSuite there are many permissions that may be used by the Lyftrondata Provider for NetSuite. Permissions may be configured for a role in NetSuite under Setup --> Users/Roles --> Manage Roles.
- [REST Web Services Setup](/finance-analytics/finance-analytics/netsuite-erp/prerequisite/rest-web-services-setup.md)
- [Role Limitations](/finance-analytics/finance-analytics/netsuite-erp/prerequisite/role-limitations.md)
- [Connection Steps](/finance-analytics/finance-analytics/netsuite-erp/connection-steps.md): This section explains how to connect Lyftrondata to Netsuite Erp.
- [Destinations](/finance-analytics/finance-analytics/netsuite-erp/destination.md): This section contains information about the destinations that Netsuite Erp supports.
- [Incremental Load](/finance-analytics/finance-analytics/netsuite-erp/destination/incremental-load.md)
- [Data Model](/finance-analytics/finance-analytics/netsuite-erp/data-model.md): This section describes the details of Netsuite Erp ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/netsuite-erp/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/netsuite-erp/data-model/tables.md): This section contain information about netsuite-erp connector tables information
- [Views](/finance-analytics/finance-analytics/netsuite-erp/data-model/views.md): This section contain information about netsuite-erp connector views information
- [Driver Framework](/finance-analytics/finance-analytics/netsuite-erp/driver-framework.md): This page contains the setup guide and reference information for the Netsuite Erp source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/netsuite-erp/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Netsuite 2](/finance-analytics/finance-analytics/netsuite-erp-1.md): This page contains the setup guide and reference information for the Netsuite Erp source connector.
- [Prerequisite](/finance-analytics/finance-analytics/netsuite-erp-1/prerequisite.md): This section describes the prerequisites for connecting Netsuite Erp to Lyftrondata. To complete the prerequisites, the user must have admin access to Netsuite Erp.
- [Permission Configurations](/finance-analytics/finance-analytics/netsuite-erp-1/prerequisite/permission-configurations.md): In NetSuite there are many permissions that may be used by the Lyftrondata Provider for NetSuite. Permissions may be configured for a role in NetSuite under Setup --> Users/Roles --> Manage Roles.
- [REST Web Services Setup](/finance-analytics/finance-analytics/netsuite-erp-1/prerequisite/rest-web-services-setup.md)
- [Role Limitations](/finance-analytics/finance-analytics/netsuite-erp-1/prerequisite/role-limitations.md)
- [Connection Steps](/finance-analytics/finance-analytics/netsuite-erp-1/connection-steps.md): This section explains how to connect Lyftrondata to Netsuite Erp.
- [Destinations](/finance-analytics/finance-analytics/netsuite-erp-1/destination.md): This section contains information about the destinations that Netsuite Erp supports.
- [Incremental Load](/finance-analytics/finance-analytics/netsuite-erp-1/destination/incremental-load.md)
- [Data Model](/finance-analytics/finance-analytics/netsuite-erp-1/data-model.md): This section describes the details of Netsuite Erp ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/netsuite-erp-1/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/netsuite-erp-1/data-model/tables.md): This section contain information about netsuite-erp connector tables information
- [Views](/finance-analytics/finance-analytics/netsuite-erp-1/data-model/views.md): This section contain information about netsuite-erp connector views information
- [Driver Framework](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework.md): This page contains the setup guide and reference information for the Netsuite Erp source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/netsuite-erp-1/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Oanda](/finance-analytics/finance-analytics/oanda.md): This page contains the setup guide and reference information for the Oanda source connector.
- [Connection Steps](/finance-analytics/finance-analytics/oanda/connection-steps.md): This section explains how to connect Lyftrondata to Oanda.
- [Destinations](/finance-analytics/finance-analytics/oanda/destination.md): This section contains information about the destinations that Oanda supports.
- [Prerequisite](/finance-analytics/finance-analytics/oanda/prerequisite.md): This section describes the prerequisites for connecting Oanda to Lyftrondata. To complete the prerequisites, the user must have admin access to Oanda.
- [Data Model](/finance-analytics/finance-analytics/oanda/data-model.md): This section describes the details of Oanda ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/oanda/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/oanda/data-model/tables.md): This section contain information about oanda connector tables information
- [Views](/finance-analytics/finance-analytics/oanda/data-model/views.md): This section contain information about oanda connector views information
- [Driver Framework](/finance-analytics/finance-analytics/oanda/driver-framework.md): This page contains the setup guide and reference information for the Oanda source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/oanda/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/oanda/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/oanda/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/oanda/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/oanda/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/oanda/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/oanda/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Odoo](/finance-analytics/finance-analytics/odoo.md): This page contains the setup guide and reference information for the Odoo source connector.
- [Connection Steps](/finance-analytics/finance-analytics/odoo/connection-steps.md): This section explains how to connect Lyftrondata to Odoo.
- [Destinations](/finance-analytics/finance-analytics/odoo/destination.md): This section contains information about the destinations that Odoo supports.
- [Prerequisite](/finance-analytics/finance-analytics/odoo/prerequisite.md): This section describes the prerequisites for connecting Odoo to Lyftrondata. To complete the prerequisites, the user must have admin access to Odoo.
- [Data Model](/finance-analytics/finance-analytics/odoo/data-model.md): This section describes the details of Odoo ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/odoo/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/odoo/data-model/tables.md): This section contain information about odoo connector tables information
- [Views](/finance-analytics/finance-analytics/odoo/data-model/views.md): This section contain information about odoo connector views information
- [Driver Framework](/finance-analytics/finance-analytics/odoo/driver-framework.md): This page contains the setup guide and reference information for the Odoo source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/odoo/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/odoo/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/odoo/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/odoo/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/odoo/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/odoo/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/odoo/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Paylocity](/finance-analytics/finance-analytics/paylocity.md): This page contains the setup guide and reference information for the Paylocity source connector.
- [Connection Steps](/finance-analytics/finance-analytics/paylocity/connection-steps.md): This section explains how to connect Lyftrondata to Paylocity.
- [Destinations](/finance-analytics/finance-analytics/paylocity/destination.md): This section contains information about the destinations that Paylocity supports.
- [Prerequisite](/finance-analytics/finance-analytics/paylocity/prerequisite.md): This section describes the prerequisites for connecting Paylocity to Lyftrondata. To complete the prerequisites, the user must have admin access to Paylocity.
- [Data Model](/finance-analytics/finance-analytics/paylocity/data-model.md): This section describes the details of Paylocity ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/paylocity/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/paylocity/data-model/tables.md): This section contain information about paylocity connector tables information
- [Views](/finance-analytics/finance-analytics/paylocity/data-model/views.md): This section contain information about paylocity connector views information
- [Driver Framework](/finance-analytics/finance-analytics/paylocity/driver-framework.md): This page contains the setup guide and reference information for the Paylocity source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/paylocity/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/paylocity/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/paylocity/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/paylocity/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/paylocity/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/paylocity/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/paylocity/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Payrun](/finance-analytics/finance-analytics/payrun.md): This page contains the setup guide and reference information for the Payrun source connector.
- [Connection Steps](/finance-analytics/finance-analytics/payrun/connection-steps.md): This section explains how to connect Lyftrondata to Payrun.
- [Destinations](/finance-analytics/finance-analytics/payrun/destination.md): This section contains information about the destinations that Payrun supports.
- [Prerequisite](/finance-analytics/finance-analytics/payrun/prerequisite.md): This section describes the prerequisites for connecting Payrun to Lyftrondata. To complete the prerequisites, the user must have admin access to Payrun.
- [Data Model](/finance-analytics/finance-analytics/payrun/data-model.md): This section describes the details of Payrun ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/payrun/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/payrun/data-model/tables.md): This section contain information about payrun connector tables information
- [Views](/finance-analytics/finance-analytics/payrun/data-model/views.md): This section contain information about payrun connector views information
- [Driver Framework](/finance-analytics/finance-analytics/payrun/driver-framework.md): This page contains the setup guide and reference information for the Payrun source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/payrun/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/payrun/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/payrun/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/payrun/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/payrun/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/payrun/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/payrun/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Pingdom](/finance-analytics/finance-analytics/pingdom.md): This page contains the setup guide and reference information for the Pingdom source connector.
- [Connection Steps](/finance-analytics/finance-analytics/pingdom/connection-steps.md): This section explains how to connect Lyftrondata to Pingdom.
- [Destinations](/finance-analytics/finance-analytics/pingdom/destination.md): This section contains information about the destinations that Pingdom supports.
- [Prerequisite](/finance-analytics/finance-analytics/pingdom/prerequisite.md): This section describes the prerequisites for connecting Pingdom to Lyftrondata. To complete the prerequisites, the user must have admin access to Pingdom.
- [Data Model](/finance-analytics/finance-analytics/pingdom/data-model.md): This section describes the details of Pingdom ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/pingdom/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/pingdom/data-model/tables.md): This section contain information about pingdom connector tables information
- [Views](/finance-analytics/finance-analytics/pingdom/data-model/views.md): This section contain information about pingdom connector views information
- [Driver Framework](/finance-analytics/finance-analytics/pingdom/driver-framework.md): This page contains the setup guide and reference information for the Pingdom source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/pingdom/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/pingdom/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/pingdom/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/pingdom/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/pingdom/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/pingdom/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/pingdom/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Qb Point Of Sale](/finance-analytics/finance-analytics/qb-point-of-sale.md): This page contains the setup guide and reference information for the Qb Point Of Sale source connector.
- [Connection Steps](/finance-analytics/finance-analytics/qb-point-of-sale/connection-steps.md): This section explains how to connect Lyftrondata to Qb Point Of Sale.
- [Destinations](/finance-analytics/finance-analytics/qb-point-of-sale/destination.md): This section contains information about the destinations that Qb Point Of Sale supports.
- [Prerequisite](/finance-analytics/finance-analytics/qb-point-of-sale/prerequisite.md): This section describes the prerequisites for connecting Qb Point Of Sale to Lyftrondata. To complete the prerequisites, the user must have admin access to Qb Point Of Sale.
- [Data Model](/finance-analytics/finance-analytics/qb-point-of-sale/data-model.md): This section describes the details of Qb Point Of Sale ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/qb-point-of-sale/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/qb-point-of-sale/data-model/tables.md): This section contain information about qb-point-of-sale connector tables information
- [Views](/finance-analytics/finance-analytics/qb-point-of-sale/data-model/views.md): This section contain information about qb-point-of-sale connector views information
- [Driver Framework](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework.md): This page contains the setup guide and reference information for the Qb Point Of Sale source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/qb-point-of-sale/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Qiita](/finance-analytics/finance-analytics/qiita.md): This page contains the setup guide and reference information for the Qiita source connector.
- [Connection Steps](/finance-analytics/finance-analytics/qiita/connection-steps.md): This section explains how to connect Lyftrondata to Qiita.
- [Destinations](/finance-analytics/finance-analytics/qiita/destination.md): This section contains information about the destinations that Qiita supports.
- [Prerequisite](/finance-analytics/finance-analytics/qiita/prerequisite.md): This section describes the prerequisites for connecting Qiita to Lyftrondata. To complete the prerequisites, the user must have admin access to Qiita.
- [Data Model](/finance-analytics/finance-analytics/qiita/data-model.md): This section describes the details of Qiita ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/qiita/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/qiita/data-model/tables.md): This section contain information about qiita connector tables information
- [Views](/finance-analytics/finance-analytics/qiita/data-model/views.md): This section contain information about qiita connector views information
- [Driver Framework](/finance-analytics/finance-analytics/qiita/driver-framework.md): This page contains the setup guide and reference information for the Qiita source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/qiita/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/qiita/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/qiita/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/qiita/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/qiita/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/qiita/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/qiita/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Quickbook](/finance-analytics/finance-analytics/quickbook.md): This page contains the setup guide and reference information for the Quickbook source connector.
- [Connection Steps](/finance-analytics/finance-analytics/quickbook/connection-steps.md): This section explains how to connect Lyftrondata to Quickbook.
- [Destinations](/finance-analytics/finance-analytics/quickbook/destination.md): This section contains information about the destinations that Quickbook supports.
- [Prerequisite](/finance-analytics/finance-analytics/quickbook/prerequisite.md): This section describes the prerequisites for connecting Quickbook to Lyftrondata. To complete the prerequisites, the user must have admin access to Quickbook.
- [Data Model](/finance-analytics/finance-analytics/quickbook/data-model.md): This section describes the details of Quickbook ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/quickbook/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/quickbook/data-model/tables.md): This section contain information about quickbook connector tables information
- [Views](/finance-analytics/finance-analytics/quickbook/data-model/views.md): This section contain information about quickbook connector views information
- [Driver Framework](/finance-analytics/finance-analytics/quickbook/driver-framework.md): This page contains the setup guide and reference information for the Quickbook source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/quickbook/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/quickbook/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/quickbook/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/quickbook/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/quickbook/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/quickbook/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/quickbook/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Quickbooks Online](/finance-analytics/finance-analytics/quickbooks-online.md): This page contains the setup guide and reference information for the Quickbooks Online source connector.
- [Connection Steps](/finance-analytics/finance-analytics/quickbooks-online/connection-steps.md): This section explains how to connect Lyftrondata to Quickbooks Online.
- [Destinations](/finance-analytics/finance-analytics/quickbooks-online/destination.md): This section contains information about the destinations that Quickbooks Online supports.
- [Prerequisite](/finance-analytics/finance-analytics/quickbooks-online/prerequisite.md): This section describes the prerequisites for connecting Quickbooks Online to Lyftrondata. To complete the prerequisites, the user must have admin access to Quickbooks Online.
- [Data Model](/finance-analytics/finance-analytics/quickbooks-online/data-model.md): This section describes the details of Quickbooks Online ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/quickbooks-online/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/quickbooks-online/data-model/tables.md): This section contain information about quickbooks-online connector tables information
- [Views](/finance-analytics/finance-analytics/quickbooks-online/data-model/views.md): This section contain information about quickbooks-online connector views information
- [Driver Framework](/finance-analytics/finance-analytics/quickbooks-online/driver-framework.md): This page contains the setup guide and reference information for the Quickbooks Online source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/quickbooks-online/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Reckon](/finance-analytics/finance-analytics/reckon.md): This page contains the setup guide and reference information for the Reckon source connector.
- [Connection Steps](/finance-analytics/finance-analytics/reckon/connection-steps.md): This section explains how to connect Lyftrondata to Reckon.
- [Destinations](/finance-analytics/finance-analytics/reckon/destination.md): This section contains information about the destinations that Reckon supports.
- [Prerequisite](/finance-analytics/finance-analytics/reckon/prerequisite.md): This section describes the prerequisites for connecting Reckon to Lyftrondata. To complete the prerequisites, the user must have admin access to Reckon.
- [Data Model](/finance-analytics/finance-analytics/reckon/data-model.md): This section describes the details of Reckon ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/reckon/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/reckon/data-model/tables.md): This section contain information about reckon connector tables information
- [Views](/finance-analytics/finance-analytics/reckon/data-model/views.md): This section contain information about reckon connector views information
- [Driver Framework](/finance-analytics/finance-analytics/reckon/driver-framework.md): This page contains the setup guide and reference information for the Reckon source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/reckon/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/reckon/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/reckon/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/reckon/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/reckon/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/reckon/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/reckon/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Recurly](/finance-analytics/finance-analytics/recurly.md): This page contains the setup guide and reference information for the Recurly source connector.
- [Connection Steps](/finance-analytics/finance-analytics/recurly/connection-steps.md): This section explains how to connect Lyftrondata to Recurly.
- [Destinations](/finance-analytics/finance-analytics/recurly/destination.md): This section contains information about the destinations that Recurly supports.
- [Prerequisite](/finance-analytics/finance-analytics/recurly/prerequisite.md): This section describes the prerequisites for connecting Recurly to Lyftrondata. To complete the prerequisites, the user must have admin access to Recurly.
- [Data Model](/finance-analytics/finance-analytics/recurly/data-model.md): This section describes the details of Recurly ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/recurly/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/recurly/data-model/tables.md): This section contain information about recurly connector tables information
- [Views](/finance-analytics/finance-analytics/recurly/data-model/views.md): This section contain information about recurly connector views information
- [Driver Framework](/finance-analytics/finance-analytics/recurly/driver-framework.md): This page contains the setup guide and reference information for the Recurly source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/recurly/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/recurly/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/recurly/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/recurly/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/recurly/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/recurly/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/recurly/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Repairshopr](/finance-analytics/finance-analytics/repairshopr.md): This page contains the setup guide and reference information for the Repairshopr source connector.
- [Connection Steps](/finance-analytics/finance-analytics/repairshopr/connection-steps.md): This section explains how to connect Lyftrondata to Repairshopr.
- [Destinations](/finance-analytics/finance-analytics/repairshopr/destination.md): This section contains information about the destinations that Repairshopr supports.
- [Prerequisite](/finance-analytics/finance-analytics/repairshopr/prerequisite.md): This section describes the prerequisites for connecting Repairshopr to Lyftrondata. To complete the prerequisites, the user must have admin access to Repairshopr.
- [Data Model](/finance-analytics/finance-analytics/repairshopr/data-model.md): This section describes the details of Repairshopr ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/repairshopr/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/repairshopr/data-model/tables.md): This section contain information about repairshopr connector tables information
- [Views](/finance-analytics/finance-analytics/repairshopr/data-model/views.md): This section contain information about repairshopr connector views information
- [Driver Framework](/finance-analytics/finance-analytics/repairshopr/driver-framework.md): This page contains the setup guide and reference information for the Repairshopr source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/repairshopr/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/repairshopr/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/repairshopr/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/repairshopr/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/repairshopr/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/repairshopr/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/repairshopr/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage 100 Cloud](/finance-analytics/finance-analytics/sage-100-cloud.md): This page contains the setup guide and reference information for the Sage 100 Cloud source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-100-cloud/connection-steps.md): This section explains how to connect Lyftrondata to Sage 100 Cloud.
- [Destinations](/finance-analytics/finance-analytics/sage-100-cloud/destination.md): This section contains information about the destinations that Sage 100 Cloud supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-100-cloud/prerequisite.md): This section describes the prerequisites for connecting Sage 100 Cloud to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage 100 Cloud.
- [Data Model](/finance-analytics/finance-analytics/sage-100-cloud/data-model.md): This section describes the details of Sage 100 Cloud ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-100-cloud/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-100-cloud/data-model/tables.md): This section contain information about sage-100-cloud connector tables information
- [Views](/finance-analytics/finance-analytics/sage-100-cloud/data-model/views.md): This section contain information about sage-100-cloud connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework.md): This page contains the setup guide and reference information for the Sage 100 Cloud source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-100-cloud/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage 200](/finance-analytics/finance-analytics/sage-200.md): This page contains the setup guide and reference information for the Sage 200 source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-200/connection-steps.md): This section explains how to connect Lyftrondata to Sage 200.
- [Destinations](/finance-analytics/finance-analytics/sage-200/destination.md): This section contains information about the destinations that Sage 200 supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-200/prerequisite.md): This section describes the prerequisites for connecting Sage 200 to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage 200.
- [Data Model](/finance-analytics/finance-analytics/sage-200/data-model.md): This section describes the details of Sage 200 ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-200/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-200/data-model/tables.md): This section contain information about sage-200 connector tables information
- [Views](/finance-analytics/finance-analytics/sage-200/data-model/views.md): This section contain information about sage-200 connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-200/driver-framework.md): This page contains the setup guide and reference information for the Sage 200 source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-200/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-200/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-200/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-200/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-200/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-200/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-200/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage 300 Cloud](/finance-analytics/finance-analytics/sage-300-cloud.md): This page contains the setup guide and reference information for the Sage 300 Cloud source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-300-cloud/connection-steps.md): This section explains how to connect Lyftrondata to Sage 300 Cloud.
- [Destinations](/finance-analytics/finance-analytics/sage-300-cloud/destination.md): This section contains information about the destinations that Sage 300 Cloud supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-300-cloud/prerequisite.md): This section describes the prerequisites for connecting Sage 300 Cloud to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage 300 Cloud.
- [Data Model](/finance-analytics/finance-analytics/sage-300-cloud/data-model.md): This section describes the details of Sage 300 Cloud ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-300-cloud/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-300-cloud/data-model/tables.md): This section contain information about sage-300-cloud connector tables information
- [Views](/finance-analytics/finance-analytics/sage-300-cloud/data-model/views.md): This section contain information about sage-300-cloud connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework.md): This page contains the setup guide and reference information for the Sage 300 Cloud source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-300-cloud/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage 50 Cloud](/finance-analytics/finance-analytics/sage-50-cloud.md): This page contains the setup guide and reference information for the Sage 50 Cloud source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-50-cloud/connection-steps.md): This section explains how to connect Lyftrondata to Sage 50 Cloud.
- [Destinations](/finance-analytics/finance-analytics/sage-50-cloud/destination.md): This section contains information about the destinations that Sage 50 Cloud supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-50-cloud/prerequisite.md): This section describes the prerequisites for connecting Sage 50 Cloud to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage 50 Cloud.
- [Data Model](/finance-analytics/finance-analytics/sage-50-cloud/data-model.md): This section describes the details of Sage 50 Cloud ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-50-cloud/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-50-cloud/data-model/tables.md): This section contain information about sage-50-cloud connector tables information
- [Views](/finance-analytics/finance-analytics/sage-50-cloud/data-model/views.md): This section contain information about sage-50-cloud connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework.md): This page contains the setup guide and reference information for the Sage 50 Cloud source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-50-cloud/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage 50 Uk](/finance-analytics/finance-analytics/sage-50-uk.md): This page contains the setup guide and reference information for the Sage 50 Uk source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-50-uk/connection-steps.md): This section explains how to connect Lyftrondata to Sage 50 Uk.
- [Destinations](/finance-analytics/finance-analytics/sage-50-uk/destination.md): This section contains information about the destinations that Sage 50 Uk supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-50-uk/prerequisite.md): This section describes the prerequisites for connecting Sage 50 Uk to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage 50 Uk.
- [Data Model](/finance-analytics/finance-analytics/sage-50-uk/data-model.md): This section describes the details of Sage 50 Uk ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-50-uk/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-50-uk/data-model/tables.md): This section contain information about sage-50-uk connector tables information
- [Views](/finance-analytics/finance-analytics/sage-50-uk/data-model/views.md): This section contain information about sage-50-uk connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-50-uk/driver-framework.md): This page contains the setup guide and reference information for the Sage 50 Uk source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-50-uk/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Accountant](/finance-analytics/finance-analytics/sage-accountant.md): This page contains the setup guide and reference information for the Sage Accountant source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-accountant/connection-steps.md): This section explains how to connect Lyftrondata to Sage Accountant.
- [Destinations](/finance-analytics/finance-analytics/sage-accountant/destination.md): This section contains information about the destinations that Sage Accountant supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-accountant/prerequisite.md): This section describes the prerequisites for connecting Sage Accountant to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Accountant.
- [Data Model](/finance-analytics/finance-analytics/sage-accountant/data-model.md): This section describes the details of Sage Accountant ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-accountant/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-accountant/data-model/tables.md): This section contain information about sage-accountant connector tables information
- [Views](/finance-analytics/finance-analytics/sage-accountant/data-model/views.md): This section contain information about sage-accountant connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-accountant/driver-framework.md): This page contains the setup guide and reference information for the Sage Accountant source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-accountant/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-accountant/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-accountant/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-accountant/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-accountant/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-accountant/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-accountant/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Accounting](/finance-analytics/finance-analytics/sage-accounting.md): This page contains the setup guide and reference information for the Sage Accounting source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-accounting/connection-steps.md): This section explains how to connect Lyftrondata to Sage Accounting.
- [Destinations](/finance-analytics/finance-analytics/sage-accounting/destination.md): This section contains information about the destinations that Sage Accounting supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-accounting/prerequisite.md): This section describes the prerequisites for connecting Sage Accounting to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Accounting.
- [Data Model](/finance-analytics/finance-analytics/sage-accounting/data-model.md): This section describes the details of Sage Accounting ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-accounting/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-accounting/data-model/tables.md): This section contain information about sage-accounting connector tables information
- [Views](/finance-analytics/finance-analytics/sage-accounting/data-model/views.md): This section contain information about sage-accounting connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-accounting/driver-framework.md): This page contains the setup guide and reference information for the Sage Accounting source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-accounting/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-accounting/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-accounting/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-accounting/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-accounting/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-accounting/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-accounting/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Auto Entry](/finance-analytics/finance-analytics/sage-auto-entry.md): This page contains the setup guide and reference information for the Sage Auto Entry source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-auto-entry/connection-steps.md): This section explains how to connect Lyftrondata to Sage Auto Entry.
- [Destinations](/finance-analytics/finance-analytics/sage-auto-entry/destination.md): This section contains information about the destinations that Sage Auto Entry supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-auto-entry/prerequisite.md): This section describes the prerequisites for connecting Sage Auto Entry to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Auto Entry.
- [Data Model](/finance-analytics/finance-analytics/sage-auto-entry/data-model.md): This section describes the details of Sage Auto Entry ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-auto-entry/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-auto-entry/data-model/tables.md): This section contain information about sage-auto-entry connector tables information
- [Views](/finance-analytics/finance-analytics/sage-auto-entry/data-model/views.md): This section contain information about sage-auto-entry connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework.md): This page contains the setup guide and reference information for the Sage Auto Entry source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-auto-entry/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Futrli](/finance-analytics/finance-analytics/sage-futrli.md): This page contains the setup guide and reference information for the Sage Futrli source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-futrli/connection-steps.md): This section explains how to connect Lyftrondata to Sage Futrli.
- [Destinations](/finance-analytics/finance-analytics/sage-futrli/destination.md): This section contains information about the destinations that Sage Futrli supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-futrli/prerequisite.md): This section describes the prerequisites for connecting Sage Futrli to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Futrli.
- [Data Model](/finance-analytics/finance-analytics/sage-futrli/data-model.md): This section describes the details of Sage Futrli ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-futrli/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-futrli/data-model/tables.md): This section contain information about sage-futrli connector tables information
- [Views](/finance-analytics/finance-analytics/sage-futrli/data-model/views.md): This section contain information about sage-futrli connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-futrli/driver-framework.md): This page contains the setup guide and reference information for the Sage Futrli source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-futrli/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-futrli/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-futrli/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-futrli/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-futrli/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-futrli/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-futrli/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Intacct](/finance-analytics/finance-analytics/sage-intacct.md): This page contains the setup guide and reference information for the Sage Intacct source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-intacct/connection-steps.md): This section explains how to connect Lyftrondata to Sage Intacct.
- [Destinations](/finance-analytics/finance-analytics/sage-intacct/destination.md): This section contains information about the destinations that Sage Intacct supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-intacct/prerequisite.md): This section describes the prerequisites for connecting Sage Intacct to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Intacct.
- [Data Model](/finance-analytics/finance-analytics/sage-intacct/data-model.md): This section describes the details of Sage Intacct ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-intacct/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-intacct/data-model/tables.md): This section contain information about sage-intacct connector tables information
- [Views](/finance-analytics/finance-analytics/sage-intacct/data-model/views.md): This section contain information about sage-intacct connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-intacct/driver-framework.md): This page contains the setup guide and reference information for the Sage Intacct source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-intacct/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-intacct/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-intacct/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-intacct/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-intacct/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-intacct/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-intacct/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Intact Dds](/finance-analytics/finance-analytics/sage-intact-dds.md): This page contains the setup guide and reference information for the Sage Intact Dds source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-intact-dds/connection-steps.md): This section explains how to connect Lyftrondata to Sage Intact Dds.
- [Destinations](/finance-analytics/finance-analytics/sage-intact-dds/destination.md): This section contains information about the destinations that Sage Intact Dds supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-intact-dds/prerequisite.md): This section describes the prerequisites for connecting Sage Intact Dds to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Intact Dds.
- [Data Model](/finance-analytics/finance-analytics/sage-intact-dds/data-model.md): This section describes the details of Sage Intact Dds ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-intact-dds/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-intact-dds/data-model/tables.md): This section contain information about sage-intact-dds connector tables information
- [Views](/finance-analytics/finance-analytics/sage-intact-dds/data-model/views.md): This section contain information about sage-intact-dds connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework.md): This page contains the setup guide and reference information for the Sage Intact Dds source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-intact-dds/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage Tax](/finance-analytics/finance-analytics/sage-tax.md): This page contains the setup guide and reference information for the Sage Tax source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-tax/connection-steps.md): This section explains how to connect Lyftrondata to Sage Tax.
- [Destinations](/finance-analytics/finance-analytics/sage-tax/destination.md): This section contains information about the destinations that Sage Tax supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-tax/prerequisite.md): This section describes the prerequisites for connecting Sage Tax to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage Tax.
- [Data Model](/finance-analytics/finance-analytics/sage-tax/data-model.md): This section describes the details of Sage Tax ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-tax/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-tax/data-model/tables.md): This section contain information about sage-tax connector tables information
- [Views](/finance-analytics/finance-analytics/sage-tax/data-model/views.md): This section contain information about sage-tax connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-tax/driver-framework.md): This page contains the setup guide and reference information for the Sage Tax source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-tax/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-tax/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-tax/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-tax/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-tax/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-tax/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-tax/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sage X3](/finance-analytics/finance-analytics/sage-x3.md): This page contains the setup guide and reference information for the Sage X3 source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sage-x3/connection-steps.md): This section explains how to connect Lyftrondata to Sage X3.
- [Destinations](/finance-analytics/finance-analytics/sage-x3/destination.md): This section contains information about the destinations that Sage X3 supports.
- [Prerequisite](/finance-analytics/finance-analytics/sage-x3/prerequisite.md): This section describes the prerequisites for connecting Sage X3 to Lyftrondata. To complete the prerequisites, the user must have admin access to Sage X3.
- [Data Model](/finance-analytics/finance-analytics/sage-x3/data-model.md): This section describes the details of Sage X3 ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sage-x3/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sage-x3/data-model/tables.md): This section contain information about sage-x3 connector tables information
- [Views](/finance-analytics/finance-analytics/sage-x3/data-model/views.md): This section contain information about sage-x3 connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sage-x3/driver-framework.md): This page contains the setup guide and reference information for the Sage X3 source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sage-x3/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sage-x3/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sage-x3/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sage-x3/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sage-x3/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sage-x3/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sage-x3/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sageintacct](/finance-analytics/finance-analytics/sageintacct.md): This page contains the setup guide and reference information for the Sageintacct source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sageintacct/connection-steps.md): This section explains how to connect Lyftrondata to Sageintacct.
- [Destinations](/finance-analytics/finance-analytics/sageintacct/destination.md): This section contains information about the destinations that Sageintacct supports.
- [Prerequisite](/finance-analytics/finance-analytics/sageintacct/prerequisite.md): This section describes the prerequisites for connecting Sageintacct to Lyftrondata. To complete the prerequisites, the user must have admin access to Sageintacct.
- [Data Model](/finance-analytics/finance-analytics/sageintacct/data-model.md): This section describes the details of Sageintacct ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sageintacct/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sageintacct/data-model/tables.md): This section contain information about sageintacct connector tables information
- [Views](/finance-analytics/finance-analytics/sageintacct/data-model/views.md): This section contain information about sageintacct connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sageintacct/driver-framework.md): This page contains the setup guide and reference information for the Sageintacct source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sageintacct/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sageintacct/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sageintacct/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sageintacct/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sageintacct/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sageintacct/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sageintacct/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sap Business One](/finance-analytics/finance-analytics/sap-business-one.md): This page contains the setup guide and reference information for the Sap Business One source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sap-business-one/connection-steps.md): This section explains how to connect Lyftrondata to Sap Business One.
- [Destinations](/finance-analytics/finance-analytics/sap-business-one/destination.md): This section contains information about the destinations that Sap Business One supports.
- [Prerequisite](/finance-analytics/finance-analytics/sap-business-one/prerequisite.md): This section describes the prerequisites for connecting Sap Business One to Lyftrondata. To complete the prerequisites, the user must have admin access to Sap Business One.
- [Data Model](/finance-analytics/finance-analytics/sap-business-one/data-model.md): This section describes the details of Sap Business One ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sap-business-one/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sap-business-one/data-model/tables.md): This section contain information about sap-business-one connector tables information
- [Views](/finance-analytics/finance-analytics/sap-business-one/data-model/views.md): This section contain information about sap-business-one connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sap-business-one/driver-framework.md): This page contains the setup guide and reference information for the Sap Business One source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sap-business-one/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sap-business-one/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sap-business-one/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sap-business-one/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sap-business-one/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sap-business-one/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sap-business-one/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sap Bydesign](/finance-analytics/finance-analytics/sap-bydesign.md): This page contains the setup guide and reference information for the Sap Bydesign source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sap-bydesign/connection-steps.md): This section explains how to connect Lyftrondata to Sap Bydesign.
- [Destinations](/finance-analytics/finance-analytics/sap-bydesign/destination.md): This section contains information about the destinations that Sap Bydesign supports.
- [Prerequisite](/finance-analytics/finance-analytics/sap-bydesign/prerequisite.md): This section describes the prerequisites for connecting Sap Bydesign to Lyftrondata. To complete the prerequisites, the user must have admin access to Sap Bydesign.
- [Data Model](/finance-analytics/finance-analytics/sap-bydesign/data-model.md): This section describes the details of Sap Bydesign ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sap-bydesign/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sap-bydesign/data-model/tables.md): This section contain information about sap-bydesign connector tables information
- [Views](/finance-analytics/finance-analytics/sap-bydesign/data-model/views.md): This section contain information about sap-bydesign connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sap-bydesign/driver-framework.md): This page contains the setup guide and reference information for the Sap Bydesign source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sap-bydesign/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sap Concur](/finance-analytics/finance-analytics/sap-concur.md): This page contains the setup guide and reference information for the Sap Concur source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sap-concur/connection-steps.md): This section explains how to connect Lyftrondata to Sap Concur.
- [Destinations](/finance-analytics/finance-analytics/sap-concur/destination.md): This section contains information about the destinations that Sap Concur supports.
- [Prerequisite](/finance-analytics/finance-analytics/sap-concur/prerequisite.md): This section describes the prerequisites for connecting Sap Concur to Lyftrondata. To complete the prerequisites, the user must have admin access to Sap Concur.
- [Data Model](/finance-analytics/finance-analytics/sap-concur/data-model.md): This section describes the details of Sap Concur ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sap-concur/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sap-concur/data-model/tables.md): This section contain information about sap-concur connector tables information
- [Views](/finance-analytics/finance-analytics/sap-concur/data-model/views.md): This section contain information about sap-concur connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sap-concur/driver-framework.md): This page contains the setup guide and reference information for the Sap Concur source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sap-concur/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sap-concur/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sap-concur/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sap-concur/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sap-concur/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sap-concur/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sap-concur/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Sap Netweaver](/finance-analytics/finance-analytics/sap-netweaver.md): This page contains the setup guide and reference information for the Sap Netweaver source connector.
- [Connection Steps](/finance-analytics/finance-analytics/sap-netweaver/connection-steps.md): This section explains how to connect Lyftrondata to Sap Netweaver.
- [Destinations](/finance-analytics/finance-analytics/sap-netweaver/destination.md): This section contains information about the destinations that Sap Netweaver supports.
- [Prerequisite](/finance-analytics/finance-analytics/sap-netweaver/prerequisite.md): This section describes the prerequisites for connecting Sap Netweaver to Lyftrondata. To complete the prerequisites, the user must have admin access to Sap Netweaver.
- [Data Model](/finance-analytics/finance-analytics/sap-netweaver/data-model.md): This section describes the details of Sap Netweaver ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/sap-netweaver/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/sap-netweaver/data-model/tables.md): This section contain information about sap-netweaver connector tables information
- [Views](/finance-analytics/finance-analytics/sap-netweaver/data-model/views.md): This section contain information about sap-netweaver connector views information
- [Driver Framework](/finance-analytics/finance-analytics/sap-netweaver/driver-framework.md): This page contains the setup guide and reference information for the Sap Netweaver source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/sap-netweaver/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Servicem8](/finance-analytics/finance-analytics/servicem8.md): This page contains the setup guide and reference information for the Servicem8 source connector.
- [Connection Steps](/finance-analytics/finance-analytics/servicem8/connection-steps.md): This section explains how to connect Lyftrondata to Servicem8.
- [Destinations](/finance-analytics/finance-analytics/servicem8/destination.md): This section contains information about the destinations that Servicem8 supports.
- [Prerequisite](/finance-analytics/finance-analytics/servicem8/prerequisite.md): This section describes the prerequisites for connecting Servicem8 to Lyftrondata. To complete the prerequisites, the user must have admin access to Servicem8.
- [Data Model](/finance-analytics/finance-analytics/servicem8/data-model.md): This section describes the details of Servicem8 ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/servicem8/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/servicem8/data-model/tables.md): This section contain information about servicem8 connector tables information
- [Views](/finance-analytics/finance-analytics/servicem8/data-model/views.md): This section contain information about servicem8 connector views information
- [Driver Framework](/finance-analytics/finance-analytics/servicem8/driver-framework.md): This page contains the setup guide and reference information for the Servicem8 source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/servicem8/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/servicem8/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/servicem8/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/servicem8/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/servicem8/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/servicem8/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/servicem8/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Tally](/finance-analytics/finance-analytics/tally.md): This page contains the setup guide and reference information for the Tally source connector.
- [Connection Steps](/finance-analytics/finance-analytics/tally/connection-steps.md): This section explains how to connect Lyftrondata to Tally.
- [Destinations](/finance-analytics/finance-analytics/tally/destination.md): This section contains information about the destinations that Tally supports.
- [Prerequisite](/finance-analytics/finance-analytics/tally/prerequisite.md): This section describes the prerequisites for connecting Tally to Lyftrondata. To complete the prerequisites, the user must have admin access to Tally.
- [Data Model](/finance-analytics/finance-analytics/tally/data-model.md): This section describes the details of Tally ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/tally/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/tally/data-model/tables.md): This section contain information about tally connector tables information
- [Views](/finance-analytics/finance-analytics/tally/data-model/views.md): This section contain information about tally connector views information
- [Driver Framework](/finance-analytics/finance-analytics/tally/driver-framework.md): This page contains the setup guide and reference information for the Tally source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/tally/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/tally/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/tally/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/tally/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/tally/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/tally/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/tally/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Xero Accounting](/finance-analytics/finance-analytics/xero-accounting.md): This page contains the setup guide and reference information for the Xero Accounting source connector.
- [Connection Steps](/finance-analytics/finance-analytics/xero-accounting/connection-steps.md): This section explains how to connect Lyftrondata to Xero Accounting.
- [Destinations](/finance-analytics/finance-analytics/xero-accounting/destination.md): This section contains information about the destinations that Xero Accounting supports.
- [Prerequisite](/finance-analytics/finance-analytics/xero-accounting/prerequisite.md): This section describes the prerequisites for connecting Xero Accounting to Lyftrondata. To complete the prerequisites, the user must have admin access to Xero Accounting.
- [Data Model](/finance-analytics/finance-analytics/xero-accounting/data-model.md): This section describes the details of Xero Accounting ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/xero-accounting/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/xero-accounting/data-model/tables.md): This section contain information about xero-accounting connector tables information
- [Views](/finance-analytics/finance-analytics/xero-accounting/data-model/views.md): This section contain information about xero-accounting connector views information
- [Driver Framework](/finance-analytics/finance-analytics/xero-accounting/driver-framework.md): This page contains the setup guide and reference information for the Xero Accounting source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/xero-accounting/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/xero-accounting/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/xero-accounting/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/xero-accounting/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/xero-accounting/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/xero-accounting/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/xero-accounting/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Zoho Books](/finance-analytics/finance-analytics/zoho-books.md): This page contains the setup guide and reference information for the Zoho Books source connector.
- [Connection Steps](/finance-analytics/finance-analytics/zoho-books/connection-steps.md): This section explains how to connect Lyftrondata to Zoho Books.
- [Destinations](/finance-analytics/finance-analytics/zoho-books/destination.md): This section contains information about the destinations that Zoho Books supports.
- [Prerequisite](/finance-analytics/finance-analytics/zoho-books/prerequisite.md): This section describes the prerequisites for connecting Zoho Books to Lyftrondata. To complete the prerequisites, the user must have admin access to Zoho Books.
- [Data Model](/finance-analytics/finance-analytics/zoho-books/data-model.md): This section describes the details of Zoho Books ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/zoho-books/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/zoho-books/data-model/tables.md): This section contain information about zoho-books connector tables information
- [Views](/finance-analytics/finance-analytics/zoho-books/data-model/views.md): This section contain information about zoho-books connector views information
- [Driver Framework](/finance-analytics/finance-analytics/zoho-books/driver-framework.md): This page contains the setup guide and reference information for the Zoho Books source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/zoho-books/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/zoho-books/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/zoho-books/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/zoho-books/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/zoho-books/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/zoho-books/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/zoho-books/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Zoho Invoice](/finance-analytics/finance-analytics/zoho-invoice.md): This page contains the setup guide and reference information for the Zoho Invoice source connector.
- [Connection Steps](/finance-analytics/finance-analytics/zoho-invoice/connection-steps.md): This section explains how to connect Lyftrondata to Zoho Invoice.
- [Destinations](/finance-analytics/finance-analytics/zoho-invoice/destination.md): This section contains information about the destinations that Zoho Invoice supports.
- [Prerequisite](/finance-analytics/finance-analytics/zoho-invoice/prerequisite.md): This section describes the prerequisites for connecting Zoho Invoice to Lyftrondata. To complete the prerequisites, the user must have admin access to Zoho Invoice.
- [Data Model](/finance-analytics/finance-analytics/zoho-invoice/data-model.md): This section describes the details of Zoho Invoice ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/zoho-invoice/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/zoho-invoice/data-model/tables.md): This section contain information about zoho-invoice connector tables information
- [Views](/finance-analytics/finance-analytics/zoho-invoice/data-model/views.md): This section contain information about zoho-invoice connector views information
- [Driver Framework](/finance-analytics/finance-analytics/zoho-invoice/driver-framework.md): This page contains the setup guide and reference information for the Zoho Invoice source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/zoho-invoice/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Zoho People](/finance-analytics/finance-analytics/zoho-people.md): This page contains the setup guide and reference information for the Zoho People source connector.
- [Connection Steps](/finance-analytics/finance-analytics/zoho-people/connection-steps.md): This section explains how to connect Lyftrondata to Zoho People.
- [Destinations](/finance-analytics/finance-analytics/zoho-people/destination.md): This section contains information about the destinations that Zoho People supports.
- [Prerequisite](/finance-analytics/finance-analytics/zoho-people/prerequisite.md): This section describes the prerequisites for connecting Zoho People to Lyftrondata. To complete the prerequisites, the user must have admin access to Zoho People.
- [Data Model](/finance-analytics/finance-analytics/zoho-people/data-model.md): This section describes the details of Zoho People ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/zoho-people/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/zoho-people/data-model/tables.md): This section contain information about zoho-people connector tables information
- [Views](/finance-analytics/finance-analytics/zoho-people/data-model/views.md): This section contain information about zoho-people connector views information
- [Driver Framework](/finance-analytics/finance-analytics/zoho-people/driver-framework.md): This page contains the setup guide and reference information for the Zoho People source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/zoho-people/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/zoho-people/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/zoho-people/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/zoho-people/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/zoho-people/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/zoho-people/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/zoho-people/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Zoho Vault](/finance-analytics/finance-analytics/zoho-vault.md): This page contains the setup guide and reference information for the Zoho Vault source connector.
- [Connection Steps](/finance-analytics/finance-analytics/zoho-vault/connection-steps.md): This section explains how to connect Lyftrondata to Zoho Vault.
- [Destinations](/finance-analytics/finance-analytics/zoho-vault/destination.md): This section contains information about the destinations that Zoho Vault supports.
- [Prerequisite](/finance-analytics/finance-analytics/zoho-vault/prerequisite.md): This section describes the prerequisites for connecting Zoho Vault to Lyftrondata. To complete the prerequisites, the user must have admin access to Zoho Vault.
- [Data Model](/finance-analytics/finance-analytics/zoho-vault/data-model.md): This section describes the details of Zoho Vault ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/zoho-vault/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/zoho-vault/data-model/tables.md): This section contain information about zoho-vault connector tables information
- [Views](/finance-analytics/finance-analytics/zoho-vault/data-model/views.md): This section contain information about zoho-vault connector views information
- [Driver Framework](/finance-analytics/finance-analytics/zoho-vault/driver-framework.md): This page contains the setup guide and reference information for the Zoho Vault source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/zoho-vault/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/zoho-vault/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/zoho-vault/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/zoho-vault/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/zoho-vault/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/zoho-vault/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/zoho-vault/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.
- [Zoho Workerly](/finance-analytics/finance-analytics/zoho-workerly.md): This page contains the setup guide and reference information for the Zoho Workerly source connector.
- [Connection Steps](/finance-analytics/finance-analytics/zoho-workerly/connection-steps.md): This section explains how to connect Lyftrondata to Zoho Workerly.
- [Destinations](/finance-analytics/finance-analytics/zoho-workerly/destination.md): This section contains information about the destinations that Zoho Workerly supports.
- [Prerequisite](/finance-analytics/finance-analytics/zoho-workerly/prerequisite.md): This section describes the prerequisites for connecting Zoho Workerly to Lyftrondata. To complete the prerequisites, the user must have admin access to Zoho Workerly.
- [Data Model](/finance-analytics/finance-analytics/zoho-workerly/data-model.md): This section describes the details of Zoho Workerly ERD, Tables, and Views.
- [ERD](/finance-analytics/finance-analytics/zoho-workerly/data-model/erd.md): This section contains detailed information about the data dictionary, and entity relationships in the source system.
- [Tables](/finance-analytics/finance-analytics/zoho-workerly/data-model/tables.md): This section contain information about zoho-workerly connector tables information
- [Views](/finance-analytics/finance-analytics/zoho-workerly/data-model/views.md): This section contain information about zoho-workerly connector views information
- [Driver Framework](/finance-analytics/finance-analytics/zoho-workerly/driver-framework.md): This page contains the setup guide and reference information for the Zoho Workerly source connector.
- [Connecting from Code](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/connecting-from-code.md): This section provides information on how to connect the connector from the code.
- [Connection String](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/connection-string.md): This section provides information about the driver supported connection string to connect with the API
- [Installation](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/installation.md): This sections covers the step-step instruction about the Lyftrondata connector installation. It's must to have Python 3.9 as the default version for our drivers to work efficiently.
- [Querying Data](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/querying-data.md): This section provides information about the Lyftrondata connector query maker method and how to execute ANSI Sql queries
- [SQL Standard](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/sql-standard.md): This section discusses the SQL syntax for the Lyftrondata driver. Our driver adheres to ANSI standards, and all of our Python drivers adhere to the Sql Alchemy framework.
- [System Methods](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/system-methods.md): This section describes the Lyftrondata driver framework methods used to establish API connectivity and data fetching.
- [System Tables](/finance-analytics/finance-analytics/zoho-workerly/driver-framework/system-tables.md): This page contains information about the Lyftrondata system tables. The following tables can be accessed via query maker, as shown in the example above.