Integrate Azure Active Directory Data in Pentaho Data Integration

The CData JDBC Driver for Azure Active Directory enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Azure Active Directory data as a JDBC data source and build jobs and transformations based on Azure Active Directory data in Pentaho Data Integration.

Configure to Azure Active Directory Connectivity

Azure Active Directory uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the OAuth section in the Help documentation for an authentication guide.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Active Directory JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, 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.

Below is a typical JDBC URL:

Save your connection string for use in Pentaho Data Integration.

Connect to Azure Active Directory from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Azure Active Directory

1. Click "General"
2. Set Connection name (e.g. Azure Active Directory Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Azure Active Directory connection string (e.g.
   jdbc:azuread:OAuthClientId=MyApplicationId;OAuthClientSecret=MySecretKey;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH
6. Set Custom driver class name to "cdata.jdbc.azuread.AzureADDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Azure Active Directory

Once the connection to Azure Active Directory is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your Azure Active Directory connection.
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
4. Select a table and optionally preview the data for verification.

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Azure Active Directory and start working with your live Azure Active Directory data in Pentaho Data Integration today.