#data engineering Tech News.
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AIThe New Stack14 minutes ago
Medium's feature store data model lessonsMedium's feature store became a bottleneck as the data model grew complex. Engineers learned that denormalizing features and separating online from offline storage improved performance. The team also adopted a feature registry to enforce schema consistency and reduce debugging time across ML pipelines.
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