Control-M for Google BigQuery

Google BigQuery is a Google Cloud Platform (GCP) computing service that you can use for data storage, processing, and analysis.

Control-M for Google BigQuery enables you to do the following:

  • Connect to any Google BigQuery from a single computer with secure login, which eliminates the need to provide authentication.
  • Integrate Google BigQuery jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the Google BigQuery status and view the results in the Monitoring domain.
  • Introduce all Control-M capabilities to Google BigQuery, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 Google BigQuery jobs simultaneously per Control-M/Agent.

Control-M for Google BigQuery Compatibility

The following table lists the prerequisites that are required to use the Google BigQuery plug-in, each with its minimum required version.

Control-M Application Integrator9.0.20.201
Control-M Web9.0.20.200
Control-M Automation API9.0.20.250

Control-M for Google BigQuery is supported on Control-M Web and Control-M Automation API, but not on Control-M client.

To download the required installation files for each prerequisite, see Obtaining Control-M Installation Files.

Setting up Control-M for Google BigQuery

This procedure describes how to deploy the Google BigQuery plug-in, create a connection profile, and define a Google BigQuery job in Control-M Web and Automation API.

NOTE: Integration plug-ins released by BMC require an Application Integrator installation at your site. However, these plug-ins are not editable and you cannot import them into Application Integrator. To deploy these integrations to your Control-M environment, you import them directly into Control-M using Control-M Automation API.

Before you Begin

Verify that Automation API is installed, as described in Automation API Installation.


  1. Create a temporary directory to save the downloaded files.

  2. Click and follow the instructions on the EPD site to download the Google BigQuery plug-in from the Control-M Integrations page, or go directly to the Control-M for Google BigQuery download page.

  3. Deploy the Google BigQuery job via Automation API, as described in deploy jobtype.
  4. Create an Google BigQuery connection profile in Control-M Web or Automation API, as follows:
  5. Define an Google BigQuery job in Control-M Web or Automation API, as follows:


To remove this plug-in from an Agent, follow the instructions in Removing a Plug-in. The plug-in ID is GBQ102022.

Was this page helpful? Yes No Submitting... Thank you