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Enable the BigQuery JDBC Driver in KNIME


Use standard data access components in KNIME to create charts and reports with BigQuery data.

One of the strengths of the CData JDBC Driver for Google BigQuery is its cross-platform support, enabling integration with major BI tools. Follow the procedure below to access BigQuery data in KNIME and to create a chart from BigQuery data using the report designer.

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


Define a New JDBC Connection to BigQuery Data

  1. Go to File -> Preferences -> KNIME -> Databases
  2. Click Add File and add the cdata.jdbc.googlebigquery.jar. The driver JAR file is located in the lib subfolder of the installation directory. CData drivers added to a KNIME workflow.
  3. Click Find driver classes
  4. Set the ID and the Name of the connection (you can set any values you prefer for these fields as they are not restricted)
  5. Set the URL template. A typical JDBC URL is provided below: jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH

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

    java -jar cdata.jdbc.googlebigquery.jar Connection properties added to CData driver

    Additionally, please refer to our documentation to learn more about Connection Properties

  6. Click OK to close the configuration section. Registering new database CData drivers in KNIME workflow.
  7. Under Node Repository go to DB -> Connection -> drag and drop DB Connector. Double-click on it and change the driver name to the driver you just configured, in this case, BigQuery (ID: BigQuery). The Database URL should change automatically. Configuring the CData driver
  8. Click Apply and OK to save changes. Authentication
  9. Right-click on the connector and select Execute. You will see that the connector will allow you to redirect to the browser where you will need to log in and allow access. After that, you will get connected successfully. Executing the DB Connector

    10. Now you can go to the Read/Write section in Node Repository and get a DB Query Reader, to be able to execute a query. DB Query Reader

  10. Double-click on your DB Query Reader and click the refresh button to load the metadata. Create an SQL Statement and click Evaluate. After clicking Evaluate you will be able to see the records requested. To learn more about the tables/views that are listed in our driver please refer to our Data Model. DB Query Reader to load the metadata

Get Started Today

Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start building BigQuery-connected charts and reports with KNIME. Reach out to our Support Team if you have any questions.

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

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Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.

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