SourceAmazon SageMaker Unified Studio now supports data profiling and anomaly detection
Amazon SageMaker Unified Studio now supports data profiling and anomaly detection powered by AWS Glue Data Quality. It enables users to generate statistical profiles and track changes in data over time.
Why it matters
Data professionals can identify data errors and drifts automatically, reducing the need to manually create and maintain complex validation rules.
The details
- Supports data at rest in catalog tables and data in transit.
- Anomaly detection identifies drift without needing predefined thresholds or custom rules.
- Available in all AWS Regions where Amazon SageMaker Unified Studio is offered.
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In this article
Key connections
AWS owns AWS Glue Data Quality
AWS develops and provides AWS Glue Data Quality.
Amazon SageMaker Unified Studio is built with AWS Glue Data Quality
Amazon SageMaker Unified Studio data profiling and anomaly detection features are powered by AWS Glue Data Quality.
Amazon SageMaker Unified Studio uses Data Profiling
Amazon SageMaker Unified Studio supports data profiling for catalog tables and Visual ETL jobs.
Amazon SageMaker Unified Studio uses Anomaly Detection
Amazon SageMaker Unified Studio uses anomaly detection to identify data points that drift from historical patterns.
AWS Glue Data Quality uses Data Profiling
AWS Glue Data Quality powers data profiling capabilities.
AWS Glue Data Quality uses Anomaly Detection
AWS Glue Data Quality powers anomaly detection capabilities.
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AWS owns Amazon SageMaker Unified Studio
AWS provides Amazon SageMaker Unified Studio as an environment for machine learning and data workflows.
Related events
Amazon SageMaker Unified Studio Launches Data Profiling and Anomaly Detection
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