Manage BigQuery Data in DBArtisan as a JDBC Source



Use wizards in DBArtisan to create a JDBC data source for BigQuery.

The CData JDBC Driver for BigQuery seamlessly integrates BigQuery data into database management tools like DBArtisan by enabling you to access BigQuery data as a database. This article shows how to create a JDBC source for BigQuery in DBArtisan. You can then edit data visually and execute standard SQL.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Integrate BigQuery Data into DBArtisan Projects

Follow the steps below to register BigQuery data as a database instance in your project:

  1. In DBArtisan, click Data Source -> Register Datasource.
  2. Select Generic JDBC.
  3. Click Manage.
  4. In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory.
  5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

    Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.googlebigquery.jar

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

    Below is a typical connection string:

    jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH
  6. Finish the wizard to connect to BigQuery data. BigQuery entities are displayed in the Datasource Explorer.

You can now work with BigQuery data as you work with any other database. See the driver help documentation for more information on the queries supported by the BigQuery API.

Ready to get started?

Download a free trial of the Google BigQuery Driver to get started:

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