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.

Schema

Verify that data structure conforms to established rules.

Missingness

Identify gaps in data to maintain data completeness.

Distribution

Validate that data values adhere to expected ranges.

Freshness

Monitor the frequency at which data is available for use.

Volume

Validate that record quantity falls within expected bounds.