Connect to BigQuery Data in RapidMiner



Integrate BigQuery data with standard components and data source configuration wizards in RapidMiner Studio.

This article shows how you can easily integrate the CData JDBC driver for BigQuery into your processes in RapidMiner. This article uses the CData JDBC Driver for BigQuery to transfer BigQuery data to a process in RapidMiner.

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


Connect to BigQuery in RapidMiner as a JDBC Data Source

You can follow the procedure below to establish a JDBC connection to BigQuery:

  1. Add a new database driver for BigQuery: Click Connections -> Manage Database Drivers.
  2. In the resulting wizard, click the Add button and enter a name for the connection.
  3. Enter the prefix for the JDBC URL: jdbc:googlebigquery:
  4. Enter the path to the cdata.jdbc.googlebigquery.jar file, located in the lib subfolder of the installation directory.
  5. Enter the driver class: cdata.jdbc.googlebigquery.GoogleBigQueryDriver
  6. Create a new BigQuery connection: Click Connections -> Manage Database Connections.
  7. Enter a name for your connection.
  8. For Database System, select the BigQuery driver you configured previously.
  9. Enter your connection string in the Host box.

    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.

    A typical connection string is below:

    DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH
  10. Enter your username and password if necessary.

You can now use your BigQuery connection with the various RapidMiner operators in your process. To retrieve BigQuery data, drag the Retrieve operator from the Operators view. With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry." In the resulting Repository Browser, you can expand your connection node to select the desired example set.

Finally, wire the output to the Retrieve process to a result, and run the process to see the BigQuery data.

Ready to get started?

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

 Download Now

Learn more:

Google BigQuery Icon Google BigQuery JDBC Driver

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