Advancing Spark - Engineering behind Featurestore

In a recent video we introduced Databricks Featurestore, and ran through an example notebook to get you started with the Titanic Dataset. But... what's it actually doing when we create tables? Where is the data held? How can we get our grubby engineering fingers under the hood?

In this video, Simon takes the same example notebook and looks at applying some engineering best practices, as well as looking at the delta table that sits underneath the featurestore. That way, we can understand the impact of these commands and properly get to grips with using Featurestore in a production environment.

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