Control-M for GCP Dataplex

GCP Dataplex is an extract, transform, and load (ETL) service that enables you to visualize and manage data in GCP BigQuery and the cloud.

Control-M for GCP Dataplex enables you to do the following:

  • Execute any of the following job actions:

    • Data Quality Task: Executes a predefined data quality task in GCP BigQuery or Google Cloud Storage locations, and defines data controls in BigQuery environments.

    • Custom Spark Task: Executes a predefined, scheduled Apache Spark task to analyze and process your data.

    • Data Profiling Scan: Executes a predefined data scan to identify shared statistical characteristics between BigQuery tables.

    • Data Quality Scan: Executes a predefined data quality scan that validates your data and logs alerts when the data fails validation.

  • Manage GCP Dataplex credentials in a secure connection profile.

  • Connect to any GCP Dataplex endpoint.

  • Introduce all Control-M capabilities to Control-M for GCP Dataplex, including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.

  • Integrate GCP Dataplex jobs with other Control-M jobs into a single scheduling environment.

  • Monitor the status, results, and output of GCP Dataplex jobs.

  • Attach an SLA job to the GCP Dataplex jobs.

  • Run 50 GCP Dataplex jobs simultaneously per Agent.

Setting up Control-M for GCP DataplexLink copied to clipboard

This procedure describes how to deploy the GCP Dataplex plug-in, create a connection profile, and define a GCP Dataplex job in Control-M SaaS 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.

  1. On the Agent host, run one of the following commands to set the Java environment variable:

    • 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:

    • To install, type one of the following provision image commands:

      • Linux: ctm provision image GCP_Dataplex_plugin.Linux

      • Windows: ctm provision image GCP_Dataplex_plugin.Windows

    • To upgrade, type the following command:

      ctm provision agent::update

  3. Create a GCP Dataplex connection profile in Control-M SaaS or Automation API, as follows:

  4. Define a GCP Dataplex job in Control-M SaaS or Automation API, as follows:

To remove this plug-in from an Agent, see Removing a Plug-in. The plug-in ID is GDQ112023.

Change LogLink copied to clipboard

The following table provides details about changes that were introduced in new versions of this plug-in:

Plug-in Version

Details

1.0.00

Initial version