Data quality use cases
Learn how to use GX to validate key data quality dimensions.
A comprehensive data quality strategy relies on a multi-dimensional approach to achieving and maintaining high-quality data. GX enables you to define and validate data quality checks across a variety of dimensions.
Distribution
Validate that data values adhere to expected ranges.
Integrity
Validate relationships and dependencies between data.
Missingness
Identify gaps in data to maintain data completeness.
Schema
Verify that data structure conforms to established rules.
Volume
Validate that record quantity falls within expected bounds.