AWS Glue Data Quality makes ETL anomaly detection free and improves anomaly predictions

AWS Glue Data Quality now offers improved anomaly detection with a new observation mode that reduces false anomalies and removes pricing for anomaly detection in ETL jobs.

• New observation mode uses constant baseline instead of linear trend to reduce false positives
• Handles irregular data arrival intervals gracefully for exploratory workflows
• Anomaly detection for AWS Glue ETL jobs now available at no additional cost
• Ideal for datasets with flat or random patterns and varying check schedules
• Available in all AWS commercial regions and AWS GovCloud (US) regions

These improvements enable teams to monitor data quality anomalies across Glue pipelines more accurately and cost-effectively.