Control-M for Google Dataflow

Google Cloud Platform (GCP) Dataflow is a managed service that enables you to perform cloud-based data processing for batch and real-time data streaming applications. 

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

• Connect to the Google Cloud Platform from a single computer with secure login, which eliminates the need to provide authentication.
• Trigger jobs based on any template (Classic or Flex) created on Google Dataflow.
• Integrate Dataflow jobs with other Control-M jobs into a single scheduling environment.
• Monitor the Dataflow status and view the results in the Monitoring domain.
• Attach an SLA job to your entire Google Dataflow service.
• Introduce all Control-M capabilities to Google Dataflow, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
• Run 50 Google Dataflow jobs simultaneously per Control-M/Agent.

Control-M for Google Dataflow Compatibility

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

Control-M for Google Dataflow   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 via EPD.

Setting up Control-M for Google Dataflow

This procedure describes how to deploy the Google Dataflow plug-in, create a connection profile, and define a Google Dataflow 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. Click http://www.bmc.com/available/epd and follow the instructions on the EPD site to download the Google Dataflow plug-in from the Control-M Integrations page, or go directly to the Control-M for Google Dataflow download page.

3. Deploy the GCP Dataflow job via Automation API, as described in deploy jobtype.
4. Create a GCP Dataflow connection profile in Control-M Web or Automation API, as follows:
   • Web: Creating a Centralized Connection Profile with GCP Dataflow Connection Profile Parameters
   • Automation API:  ConnectionProfile:GCP Dataflow
5. Define a GCP Dataflow job in Control-M Web or Automation API, as follows:
   • Web: Create a Job and then define specific GCP Dataflow parameters in GCP Dataflow Job parameters.
   • Automation API: Job:GCP Dataflow