Control-M for AWS Data Pipeline

AWS Data Pipeline is a cloud-based extract, transform, load (ETL) service that enables you 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.
• Execute or create an AWS Data Pipeline.
• Monitor the status, results, and output of AWS Data Pipeline jobs in the Monitoring domain.
• Attach an SLA job to your AWS Data Pipeline jobs.
• Introduce all Control-M capabilities to Control-M for AWS Data Pipeline including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
• Run 50 AWS Data Pipeline jobs simultaneously per Agent.

Control-M for AWS Data Pipeline Compatibility

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

Control-M for AWS Data Pipeline 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 AWS Data Pipeline

This procedure describes how to deploy the AWS Data Pipeline plug-in, create a connection profile, and define an AWS Data Pipeline 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.

Begin

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

2. Download the AWS Data Pipeline plug-in from the Control-M for AWS Data Pipeline download page in the EPD site.

3. Install the AWS Data Pipeline plug-in via one of the following methods:
   • (For version 9.0.21.or later) Use the Provision service of Automation API:
     1. As an administrator on the Control-M/EM Server, store the downloaded zip file in the following location.
        Within several minutes, the zip file is available in all Control-M interfaces associated with the Control-M/EM.
        
        • Linux: $HOME/ctm_em/AUTO_DEPLOY
        • Windows: <EM_HOME>\AUTO_DEPLOY
     2. As an application user on the Agent machine, run the provision image command, as follows:
        • Linux: ctm provision image ADP_plugin.Linux
        • Windows: ctm provision image ADP_plugin.Windows
   • (For versions lower than 9.0.21) Use the Deploy service of Automation API, as described in deploy jobtype.
4. Create an AWS Data Pipeline connection profile in Control-M Web or Automation API, as follows:
   • Web: Creating a Centralized Connection Profile with AWS Data Pipeline Connection Profile Parameters
   • Automation API: ConnectionProfile:AWS Data Pipeline
5. Define an AWS Data Pipeline job in Control-M Web or Automation API, as follows:
   • Web: Creating a Job with AWS Data Pipeline Job parameters
   • Automation API: Job:AWS Data Pipeline