No Need to Maintain a Production Copy of Your Code in Databricks
Build Production Data and ML Pipelines With Git Support for Databricks Workflows/Jobs:
In this video, you will learn how to use a remote Git reference as the source for tasks that make up a Databricks Workflow/job, for example, a notebook from the main branch of a repository on GitHub can be used in a notebook task.
This will eliminate the risk of accidental edits to production code and also remove the overhead of maintaining a production copy of the code in Databricks.
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GitHub repo example forked in this video:
https://github.com/MG-Microsoft/datab...
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