AWS Glue Data Quality now supports anomaly detection and writing results to the AWS Glue Data Catalog

Update your data quality workflows to integrate AWS Glue Data Quality's new anomaly detection and results storage in the Data Catalog to automate data monitoring and ensure consistent data quality across ETL jobs and Catalog evaluations.

Adopt the new AWS Glue Data Quality features to provide your teams with advanced data monitoring capabilities, reducing the need for manual interventions and improving overall data reliability in your platform.

Evaluate the new anomaly detection capabilities in AWS Glue Data Quality to enhance data reliability and reduce manual monitoring efforts, leading to improved operational efficiency and data-driven decision-making.