Build governance dashboards for Amazon SageMaker Catalog with Amazon Quick
Big Data Blog
This article demonstrates how to build governance dashboards for Amazon SageMaker Catalog using Amazon QuickSight and natural language prompts.
- Connect Amazon QuickSight to SageMaker Catalog metadata exported to S3 Tables via Athena
- Configure IAM and Lake Formation permissions for QuickSight service role and admin users
- Create datasets using custom SQL queries against S3 Tables catalog
- Build six key visualizations using natural language: asset inventory, documentation completeness, registration trends, account distribution, namespace distribution, and resource type heatmap
- Use Amazon Quick's "Analyze this dashboard" feature for AI-powered governance insights
- Generate automated executive summaries and governance stories combining multiple dashboards
- Restrict dashboard access to data stewards and compliance teams via named users or groups
This solution provides data stewards with automated governance monitoring from catalog metadata to executive-ready reports without manual dashboard configuration.
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