Databricks Job: End‑to‑End Demo with Loops, Parameters, Failure Handling & Alerts
In this video I explain building a complete Databricks job from scratch – ingesting tables, looping through multiple datasets, handling parameters, managing failures, transforming data, refreshing a dashboard and setting up email notifications. All the notebooks used are linked in the description for you to download and try yourself.
Notebooks used are available at below path:
https://github.com/databeli/databrick...
Plan 1 on 1 with me at below URL:
https://topmate.io/narender_kumar_91/
What you will learn:
How to create and configure a Databricks job with notebook tasks
Passing parameters to tasks and using job‑level variables
Setting up a for‑each loop to ingest many tables in parallel
Dynamically generating input lists from a metadata table
Repairing failed runs and handling partial failures in loops
Adding transformation notebooks and creating a simple dashboard
Configuring notifications for job runs and dashboard refreshes
Exploring system tables that store job execution metadata
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#databricks #jobautomation #etl #dashboard