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Pipedrive Icon Pipedrive ODBC Driver

The Pipedrive ODBC Driver is a powerful tool that allows you to connect with live data from Pipedrive, directly from any applications that support ODBC connectivity.

Access Pipedrive data like you would a database - read, write, and update Pipedrive 0, etc. through a standard ODBC Driver interface.

Pipedrive Reporting and Star Schemas in OBIEE



Create a star schema that shows perspectives on Pipedrive facts in real time.

The CData ODBC Driver for Pipedrive is a standard database driver that can integrate real-time access to Pipedrive data into your data warehouse or directly into your reporting tool. This article shows how to bypass the data warehouse and import operational Pipedrive data into Oracle Business Intelligence Enterprise Edition (OBIEE).

See the knowledge base for ODBC integrations with ETL tools like Informatica PowerCenter. For an ETL solution into Oracle Warehouse Builder, use the driver with the Oracle ODBC Gateway to Access Pipedrive Data as a Remote Oracle Database.

Connect to Pipedrive as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Import Pipedrive Metadata

Follow the steps below to use the OBIEE Client Tools to import Pipedrive metadata into an OBIEE repository. You can then integrate Pipedrive data into your business models.

  1. Open the Administration Tool and click File -> New Repository.

  2. In the Connection Type menu, select ODBC 3.5 and select the CData DSN.
  3. Select the metadata types you want to import under the Relational Sources option and then select Pipedrive tables.
You can now create star schemas based on Pipedrive tables: