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

**[AWS](https://daily.dev/sources/aws)** · 2 min read · 0 upvotes · 0 comments

## Summary

AWS Glue Data Quality has added two new capabilities: anomaly detection for Catalog-based evaluations and the ability to write evaluation results back to AWS Glue Data Catalog (GDC) tables. Anomaly detection uses ML-powered time-series forecasting to identify unexpected changes in data statistics—such as row count spikes or drops in distinct values—without requiring explicit threshold rules. Evaluation results including rule outcomes, profiling metrics, and anomaly predictions with confidence bounds are stored as queryable GDC tables accessible via standard SQL. Both features work across ETL jobs and Catalog evaluations and are available in all AWS commercial and GovCloud (US) regions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/about-aws/whats-new/2026/07/aws-glue-data-quality-catalog-anomaly-detection-write-results>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#data-quality](https://daily.dev/tags/data-quality), [#etl](https://daily.dev/tags/etl)

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