Integrate Azure Data Catalog Data in Pentaho Data Integration

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

Configure to Azure Data Catalog Connectivity

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

<>CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. 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 Azure Data Catalog JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.azuredatacatalog.jar

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:

jdbc:azuredatacatalog:InitiateOAuth=GETANDREFRESH;

Save your connection string for use in Pentaho Data Integration.

Connect to Azure Data Catalog from Pentaho DI

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

1. Click "General"
2. Set Connection name (e.g. Azure Data Catalog Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Azure Data Catalog connection string (e.g.
   

   jdbc:azuredatacatalog:InitiateOAuth=GETANDREFRESH;

6. Set Custom driver class name to "cdata.jdbc.azuredatacatalog.AzureDataCatalogDriver" 👁 Configuring the JDBC Driver connection.
   
7. Test the connection and click "OK" to save. 👁 Saving the connection.
   

Create a Data Pipeline for Azure Data Catalog

Once the connection to Azure 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 Azure Data Catalog connection. 👁 Configuring the Table input object
   
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views. 👁 Selecting data (QuickBooks Online is shown).
   
4. Select a table and optionally preview the data for verification. 👁 Previewing the data (QuickBooks Online is shown).
   

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 Data Catalog and start working with your live Azure Data Catalog data in Pentaho Data Integration today.