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Data Quality Monitoring Basics

Detect bad data early

Monitoring data quality means automating checks on freshness, volume, schema, and value ranges, alerting on anomalies, and tying issues to owners and downstream impacts.

Define Checks

Freshness, row counts, nulls, ranges, and referential integrity.

Alert and Own

Route alerts to owners; include lineage and blast radius.

Fix and Prevent

Add tests upstream, document causes, and watch regressions.

Keep Exploring

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