Control-M for Azure Data Factory

Azure Data Factory is a cloud-based extract, transform, load (ETL) and data integration service that allows you to create data-driven workflows to automate the movement and transformation of data. 

Control-M for Azure Data Factory enables you to do the following:

  • Connect to any Azure Data Factory endpoint from a single computer with secure login, which eliminates the need to provide authentication.
  • Integrate Azure Data Factory jobs with other Control-M jobs into a single scheduling environment.
  • Execute Azure Data Factory jobs.
  • Monitor the status, results, and output of Azure Data Factory jobs in the Monitoring domain.
  • Attach an SLA job to your Azure Data Factory jobs.
  • Introduce all Control-M capabilities to Control-M for Azure Data Factory including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
  • Run 50 Azure Data Factory jobs simultaneously per Agent.

Setting up Control-M for Azure Data Factory

This procedure describes how to install the Azure Data Factory plug-in, create a connection profile, and define an Azure Data Factory job in Helix Control-M and Automation API.

Before you Begin

  • Verify that Automation API is installed, as described in Setting up the API.
  • Verify that Agent version or later is installed.


  1. On the Agent host, set the Java environment variable by running one of the following commands through a command line:
    • Linux:
      • Bourne shell/bash: export BMC_INST_JAVA_HOME=<java_11_directory>
      • csh/tcsh: setenv BMC_INST_JAVA_HOME <java_11_directory>
    • Windows: set BMC_INST_JAVA_HOME="<java_11_directory>"
  2. Run one of the following API commands:
    • For a fresh installation, use the provision image command:
      • Linux: ctm provision image ADF_plugin.Linux
      • Windows: ctm provision image ADF_plugin.Windows
    • For an upgrade, use the following command:
      ctm provision agent::update
  3. Create an Azure Data Factory connection profile in Helix Control-M or Automation API, as follows:
  4. Define an Azure Data Factory job in Helix Control-M 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 ADF062021.

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