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