Great guide! I think this is a really good foundation for anyone getting started with Databricks and understanding how the different pieces of the Lakehouse fit together.

For anyone looking to take the example a little further, I think it could be interesting to extend it with a few additional steps: create a Unity Catalog Volume and use a raw CSV file as the ingestion source, add data quality rules with Expectations and route invalid records to a quarantine table, and then build a Metric View on top of the Gold layer to define the business metrics.

As a final step, connecting that semantic layer to a Agent Agent would be a great way to show the complete journey from raw files to governed data, business metrics, and natural-language analytics.

Really nice starting point!