The AI agent checked the table. Did every result describe the same state?
Why agent data tools need exact table identity, bounded coverage, and honest incomplete results beyond a successful tool call.
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Investigate data changes with explicit evidence.
Short, practical notes for engineers who need to inspect unexpected data changes, compare outputs, and explain why a result can be trusted.
The report says verified. Is the change safe to release?
How to keep table identity, evidence coverage, and release intent separate in a data investigation report.
Read the noteThe query succeeded. Which table state did it read?
Why a Delta or Iceberg table is not the same as every Parquet object in its storage location.
Read the noteThe pipeline passed. The data still needs proof.
How to compare two data states and leave evidence another engineer can reproduce.
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