ETL-BASICS5 MIN READ
Name Data Quality Dimensions
Apply quality dimensions in a real ETL workflow.
The key idea: make quality dimensions inspectable. Name the contract For this topic, the contract is completeness, validity, uniqueness, consistency, timeliness, and accuracy. Naming it keeps the team from treating every data issue as a vague pipeline failure. Check the boundary Ask where the promise first stopped being true: extract, transform, or load. Boundary checks are faster than editing the first SQL file you see. Preserve evidence Counts, timestamps, reject reasons, keys, and run IDs make the lesson operational. Evidence lets another person verify the same conclusion.
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