Qlik Cloud supports a cloud-based extract, transform, load (ETL) service, called Qlik Cloud Data Services, and enables you to visualize your data using Qlik Sense.

Control-M for Qlik Cloud further enables you to do the following:

• Connect to any Qlik Cloud endpoint from a single computer with secure login, which eliminates the need to provide authentication.
• Integrate Qlik Cloud jobs with other Control-M jobs into a single scheduling environment.
• Execute Qlik Cloud jobs, which perform a full or partial data reloads.
• Monitor the status, results, and output of Qlik Cloud jobs in the Monitoring domain.
• Attach an SLA job to your Qlik Cloud jobs.
• Introduce all Control-M capabilities to Control-M for Qlik Cloud including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
• Run 50 Qlik Cloud jobs simultaneously per Agent.

Setting up Control-M for Qlik Cloud

This procedure describes how to install the Qlik Cloud plug-in, create a connection profile, and define a Qlik Cloud 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 QLS_plugin.Linux
     • Windows: ctm provision image QLS_plugin.Windows
   • For an upgrade, use the following command:
     ctm provision agent::update
3. Create a Qlik Cloud connection profile in Helix Control-M or Automation API, as follows:
4. Define a Qlik Cloud job in Helix Control-M or Automation API, as follows:

Note

To remove this plug-in from an Agent, follow the instructions in Removing a Plug-in. The plug-in ID is QLC092022.