Integrate Azure DevOps Data in Pentaho Data Integration

The CData JDBC Driver for Azure DevOps 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 DevOps data as a JDBC data source and build jobs and transformations based on Azure DevOps data in Pentaho Data Integration.

Configure to Azure DevOps Connectivity

Obtaining a Personal Access Token

To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.

If you wish to authenticate to Azure DevOps using OAuth refer to the online 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 DevOps 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 DevOps from Pentaho DI

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

1. Click "General"
2. Set Connection name (e.g. Azure DevOps Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Azure DevOps connection string (e.g.
   jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=GETANDREFRESH
6. Set Custom driver class name to "cdata.jdbc.azuredevops.AzureDevOpsDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Azure DevOps

Once the connection to Azure DevOps 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 DevOps 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 DevOps and start working with your live Azure DevOps data in Pentaho Data Integration today.