As a GIS Manager in a high-compliance industry (like Utilities or Finance), I want to perform a "Feature Blame" on a corrupted record so I can instantly see which specific Python script or ETL tool modified its geometry, rather than just knowing when it happened. This allows me to verify the logic behind a transformation and perform a surgical rollback of that single feature without disrupting the entire production database or forcing a full version revert.
As a Data Engineer managing automated pipelines, I want a deterministic "Replay" capability that shows me the exact state of all input sources at the moment a specific feature was enriched. This transparency ensures that if a spatial join or calculation is questioned by an auditor, I can provide a step-by-step audit trail of the feature’s lifecycle from its raw ingestion to its current enriched state proving its data integrity through every intermediate transformation.
