Build Visualizations of Google Data Catalog Data in Birst

Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for Google Data Catalog, you can connect to live Google Data Catalog data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to Google Data Catalog using the Cloud Agent and create dynamic reports in Birst.

With powerful data processing capabilities, the CData JDBC Driver offers unmatched performance for live Google Data Catalog data operations in Birst. When you issue complex SQL queries from Birst to Google Data Catalog, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Data Catalog and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze Google Data Catalog data using native Birst data types.

Configure a JDBC Connection to Google Data Catalog Data in Birst

Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.

With the driver and Cloud Agent installed, you are ready to begin.

1. Create a new project in Birst.
2. Name the connection (e.g. CDataGoogleDataCatalog).
3. Choose Live Access.
4. Select an agent.
5. Set Database Type to Other.
6. Set SQL Type to MSSQL
7. Set the Connection string.

   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.

   java -jar cdata.jdbc.googledatacatalog.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 connection string for Google Data Catalog:

   jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH
8. Set the Driver Name: cdata.jdbc.googledatacatalog.GoogleDataCatalogDriver and click Save.

NOTE: Since authentication to Google Data Catalog is managed from the connection string, you can leave Security Credentials blank.

Configure Google Data Catalog Data Objects

Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.

1. Select the Schema (e.g. GoogleDataCatalog).
2. Click on Tables and/or Views to connect to those entities and click Apply.
3. Select the Tables and Columns you want to access and click Done.

With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.

Build a Visualization

After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.

1. Select the Visualizer tool from the menu.
2. Select Measures & Categories from your objects
3. Select and configure the appropriate visualization for the Measure(s) you selected.

Using the CData JDBC Driver for Google Data Catalog with the Cloud Agent and Birst, you can easily create robust visualizations and reports on Google Data Catalog data. Download a free, 30-day trial and start building Birst visualizations today.