AWS Glue Data Quality now supports rule labeling for enhanced reporting

This article announces the general availability of rule labeling in AWS Glue Data Quality, enabling custom key-value pair labels on data quality rules for improved organization and reporting.

• Apply custom labels to categorize rules by business context, team, or compliance requirements
• Query results by specific labels to identify failing rules in particular categories
• Generate customized reports for different stakeholders and teams
• Prioritize remediation efforts using labels like "criticality=high"
• Labels can be authored in DQDL and queried in rule outcomes and API responses
• Available in all commercial AWS Regions where AWS Glue Data Quality operates

Rule labeling enhances data quality governance by enabling targeted reporting and stakeholder-specific insights through flexible categorization and filtering of data quality rules.