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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:

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

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• Feast
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• Tecton
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• Turing
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• Merlin
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• Kubeflow
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• apply() Conference
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People mentioned:

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

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