Control-M for AWS Data Pipeline

AWS Data Pipeline is a cloud-based ETL service that you can use to  automate the transfer, processing, and storage of your data.

Control-M for AWS Data Pipeline enables you to do the following:

• Connect to any AWS Data Pipeline endpoint from a single computer with secure login, which eliminates the need to provide authentication.
• Integrate AWS Data Pipeline  jobs with other Control-M jobs into a single scheduling environment.
• Trigger AWS Data Pipeline jobs based on ETL processing.
• Attach an SLA job to your entire pipeline.
• Introduce all Control-M capabilities to AWS Data Pipeline, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
• Run 50 AWS Data Pipeline jobs simultaneously per Control-M/Agent.

Setting up Control-M for AWS Data Pipeline

This procedure describes how to install the AWS Data Pipeline plug-in, create a connection profile, and define an AWS Data Pipeline 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 ADP_plugin.Linux
     • Windows: ctm provision image ADP_plugin.Windows
   • For an upgrade, use the following command:
     ctm provision agent::update
3. Create an AWS Data Pipeline connection profile in Helix Control-M or Automation API, as follows:
   • Helix Control-M: Creating a Centralized Connection Profile with AWS Data Pipeline Connection Profile Parameters
   • Automation API: ConnectionProfile:AWS Data Pipeline
4. Define an AWS Data Pipeline job in Helix Control-M or Automation API, as follows:
   • Helix Control-M: Create a Job and then define specific AWS Data Pipeline parameters in AWS Data Pipeline Job parameters.
   • Automation API: Job:AWS Data Pipeline