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Feature store with lineage
Centralized features with training/serving parity and lineage to source tables.
TrialMLOpsNew
- Why this ring
- Worth piloting once you have 3+ models sharing features. Overkill for a single-model team.
- Production risk if ignored
- Training-serving skew causes silent accuracy drops after retraining.
- Typical effort
- months
- Low FinOps impact
Use cases
- Shared features across models
- Notebook-copied feature SQL
- Online/offline mismatch
Adoption steps
- Pick one feature family
- Deploy Feast offline + online store
- Parity test in CI
- Expand after ROI proof
Related tools
In your assessment
Feature parity check + lineage gap analysis