Eric Anderson (@ericmander) and Willem Pienaar (@willpienaar) talk about Feast, the open-source feature store for machine learning. Feature stores act as a bridge between models and data, and allow data scientists to ship features into production without the need for engineers. Willem co-created Feast at Gojek, and later teamed up with the folks at Tecton to back the project.
In this episode we discuss:

The value of feature stores in MLOps
What happens when you open-source too early
Why most open-source code has nothing to hide
Bringing an open-source project to an existing company
Good and bad use cases for a feature store

Links:

Feast
Tecton
Turing
Merlin
Kubeflow
apply() Conference

People mentioned:

Mike Del Balso
Kevin Stumpf (@kevinmstumpf)
Ajey Gore (@AjeyGore)
Demetrios Brinkmann (@Dpbrinkm)
Wes McKinney (@wesmckinn)

Other episodes:

Flyte with Ketan Umare
Great Expectations with Abe Gong and Kyle Eaton

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