data-quality

From the author

Decide what must be true of a dataset and where that assertion belongs — freshness against event time, volume floors and bands, distribution and referential checks, source reconciliation, and whether it should be a schema constraint, a blocking publish gate or an alert. Use when adding or reviewing data checks, when a wrong number reached a consumer and nothing caught it, or when a check fires so often it is being ignored. Not for proving a specific migration did what it claimed (database-migration-verification), not for building the pipeline itself (data-pipelines), and not for interpreting what the numbers mean.