Announcing Data Quality Definition Language (DQDL) enhancements for AWS Glue Data Quality

The article announces enhancements to the Data Quality Definition Language (DQDL) for AWS Glue Data Quality, a feature that allows customers to measure and monitor the quality of their data.

Specifically, the article covers:

• The introduction of the NOT operator to exclude certain values in data quality rules
• New keywords (NULL, EMPTY, and WHITESPACES_ONLY) to author rules that capture missing values without complex regular expressions
• Composite rules that allow users to author sophisticated business rules and manage their evaluation order
• The addition of a WHERE clause in DQDL to filter data before applying rules
• Information on the availability of these enhancements in all commercial regions where AWS Glue is available