Integrate Google Data Catalog Data in Pentaho Data Integration

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

Configure to Google Data Catalog Connectivity

Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

Before connecting, specify the following to identify the organization and project you would like to connect to:

• OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

  Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

• ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

  Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Google Data Catalog 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 Google Data Catalog from Pentaho DI

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

1. Click "General"
2. Set Connection name (e.g. Google Data Catalog Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Google Data Catalog connection string (e.g.
   jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH
6. Set Custom driver class name to "cdata.jdbc.googledatacatalog.GoogleDataCatalogDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Google Data Catalog

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