AWS Glue Data Quality now supports rule labeling for enhanced reporting

AWS Glue Data Quality Rule Labeling

AWS announces the general availability of rule label, a feature of AWS Glue Data Quality, enabling you to apply custom key-value pair labels to your data quality rules for improved organization, filtering, and targeted reporting. This enhancement allows you to categorize data quality rules by business context, team ownership, compliance requirements, or any custom taxonomy that fits your data quality and governance needs.

Rule labels provide an effective way to organize and analyze data quality results. You can query results by specific labels to identify failing rules within particular categories, count rule outcomes by team or domain, and create focused reports for different stakeholders. For example, you can apply all rules that pertain to the finance team with a label "team=finance" and generate a customized report to showcase quality metrics specific to the finance team. You can label high priority rules with "criticality=high" to prioritize remediation efforts. Labels can be authored as part of the DQDL. You can query the labels as part of rule outcomes, row-level results, and API responses, making it easy to integrate with your existing monitoring and reporting workflows.

What to do

• Apply custom labels to your data quality rules for better organization and reporting.
• Query results by specific labels to identify failing rules within particular categories.
• Count rule outcomes by team or domain to create focused reports for different stakeholders.

Source: AWS release notes

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