We've talked about the idea of feature stores, and how they're used to help Data Science teams scale, so it's about time we had a look at using one in anger.
In this video, Simon welcomes back Gavi, our resident Data Science expert, to walk us through an example Feature Engineering workflow, saving the feature tables down to the store then pulling them into a model training workflow.
For a step by step guide around getting started with Databricks Featurestore, see Gavi's excellent blog over on the AA website: https://www.advancinganalytics.co.uk/blog/2022/2/17/databricks-feature-store-tutorial
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