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LinkedIn Reporting and Star Schemas in OBIEE

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

The CData ODBC Driver for LinkedIn is a standard database driver that can integrate real-time access to LinkedIn data into your data warehouse or directly into your reporting tool. This article shows how to bypass the data warehouse and import operational LinkedIn 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 LinkedIn Data as a Remote Oracle Database.

Connect to LinkedIn 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.

LinkedIn uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.

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 LinkedIn Metadata

Follow the steps below to use the OBIEE Client Tools to import LinkedIn metadata into an OBIEE repository. You can then integrate LinkedIn 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 LinkedIn tables.
You can now create star schemas based on LinkedIn tables: