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Is there any better way to manage workflow dependencies using databricks workflows

128941
New Contributor III

Looking for solution on how to manage job dependencies using databricks workflows.

4 REPLIES 4

Mounika_Tarigop
New Contributor III
New Contributor III

Yes, Databricks Workflows provides several ways to manage workflow dependencies:

  1. Job Dependencies: You can set up job dependencies in Databricks Workflows. This means that one job will only start after another job has successfully completed. This is useful for managing dependencies between different data processing tasks.

  2. Task Dependencies: Within a single job, you can set up task dependencies using the Databricks notebook workflows feature. This allows you to call one notebook from another, creating a dependency between the two notebooks.

jacovangelder
Contributor III

Have you tried Asset Bundles? You can set both job and task dependencies in here. 

128941
New Contributor III

Trying to find a way to manage dependencies between the multiple databricks workflows.

Example: wf1-->wf2--wf3 and wk4.

128941
New Contributor III

We have not tried Asset Bundles.

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