Before You Trust the Table: 8 Data Quality Checks

A practical eight-part checklist for validating a data product beyond a successful pipeline run: schema, completeness, uniqueness, referential integrity, validity, consistency, freshness, and volume or distribution drift. The infographic also gives a testing order and requires an owner, threshold, severity, and response for every check. Source reference: Great Expectations data-quality use cases, https://docs.greatexpectations.io/docs/reference/learn/data_quality_use_cases/dq_use_cases_lp/

By Ibrahim Denis Fofanah