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 9.0.21.080 or later is installed.

Begin

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:
   • Helix Control-M: Creating a Centralized Connection Profile with Azure Data Factory Connection Profile Parameters
   • Automation API:  ConnectionProfile:ADF
4. Define an Azure Data Factory job in Helix Control-M or Automation API, as follows:
   • Helix Control-M: Creating a Job with Azure Data Factory Job parameters
   • Automation API: Job:ADF