Control-M for Snowflake Cortex AI

Snowflake Cortex AI enables you to build and run generative AI and agentic workflows directly on Snowflake data.

Control-M for Snowflake Cortex AI enables you to do the following:

  • Run a Snowflake Cortex AI Agent.

  • Execute an MCP Server tool call.

  • Manage Snowflake Cortex AI credentials in a secure connection profile.

  • Connect to any Snowflake Cortex AI endpoint.

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

  • Integrate Snowflake Cortex AI jobs with other Control-M jobs into a single scheduling environment.

  • Monitor the status, results, and output of Snowflake Cortex AI jobs.

  • Attach an SLA job to the Snowflake Cortex AI jobs.

Setting up Control-M for Snowflake Cortex AI

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

Before You Begin

Begin

  1. Do one of the following:

    • Install: Run one of the following provision image commands:

      • Linux: ctm provision image Snowflake_Cortex_AI_plugin.Linux

      • Windows: ctm provision image Snowflake_Cortex_AI_plugin.Windows

    • Upgrade: Run the following command:

      ctm provision agent::update

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

  3. Define a Snowflake Cortex AI 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 SNC032026.

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