Control-M for Dataiku

Dataiku is a centralized data science and machine learning platform that enables teams to build, execute, and maintain data pipelines and machine learning models.

Control-M for Dataiku enables you to do the following:

• Trigger and monitor Dataiku jobs, automation scenarios, and dataset rule computations.

• Manage Dataiku credentials in a secure connection profile.

• Connect to any Dataiku endpoint.

• Introduce all Control-M capabilities to Control-M for Dataiku, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

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

• Monitor the status, results, and output of Dataiku jobs.

• Attach an SLA job to the Dataiku jobs.

Setting up Control-M for Dataiku

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

Before You Begin

• Verify that Java is installed, as described in Control-M External Java Installation.

• Verify that Automation API is installed, as described in Setting Up the API.

• Verify that Agent version 9.0.21.080 or higher is installed.

Begin

1. Run one of the following provision image commands:

   • Linux: ctm provision image Dataiku_plugin.Linux

   • Windows: ctm provision image Dataiku_plugin.Windows

2. Create a Dataiku connection profile in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Centralized Connection Profile with Data Integration Connection Profiles

   • Automation API: ConnectionProfile:Dataiku

3. Define a Dataiku job in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Job with Dataiku Job parameters

   • Automation API: Job:Dataiku

Change Log

The following table describes changes that were introduced in new versions of this plug-in.

Plug-in Version	Details
1.0.00	Initial version