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Feature Stores Version Tables. They Should Version Transforms

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

TL;DR — Feature stores solved the storage problem — point-in-time joins, online/offline sync, schema registries — but they rarely version the transformation logic itself. When the same feature name is computed by two different pipelines, you get silent train/serve skew that no schema check will eve…

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  1. 2026-10-20 13:16 · DEV Community — Machine Learning
    Feature Stores Version Tables. They Should Version Transforms

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