Amazon SageMaker Unified Studio introduced support for data profiling and anomaly detection powered by AWS Glue Data Quality.

Key Details

• Powered by AWS Glue Data Quality to generate statistical profiles and track changes over time
• Provides on-demand and scheduled profiling on catalog tables via a dedicated Data profile tab
• Enables anomaly detection that builds baselines of expected behavior without predefined thresholds or custom rules
• Supports both data at rest in catalog tables and data in transit within Visual ETL jobs using Evaluate Data Quality transforms
• Available in all AWS Regions where Amazon SageMaker Unified Studio is supported

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