Data Quality Testing Techniques — Data Quality, Governance & Observab…
Writing assertions that catch real problems
Steps in Data Quality Testing Techniques
- Writing Data Quality Tests — beginner · Assertions like uniqueness, non-null and range checks
- Statistical Data Quality Checks — beginner · Detecting distributional shifts and outliers automatically
- Referential Integrity Testing — beginner · Verifying relationships between tables actually hold
- Testing Data Quality at Different Pipeline Stages — beginner · Where to place checks for the fastest, most useful feedback
- Balancing Test Coverage with Maintenance Burden — beginner · Avoiding a test suite so large it becomes ignored
Part of
- Data Quality, Governance & Observability roadmap — the full learning path