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.