The last year saw an explosion of managed featurestores into the data science tooling market, but there's still a lot of confusion out there around what a featurestore actually is, and what problems they're solving. We'll be digging into the Databricks Featurestore in later videos, but first let's understand what they actually are!

In this video, Simon welcomes back Gavi to give us a Featurestore history lesson and outline why we need them!

As always, don't forget to like and subscribe - and if you're scaling out your data science capability and need help nailing the processes, get in touch with Advancing Analytics!

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