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