Amazon SageMaker Unified Studio now supports business context, metadata and data governance capabilities in IAM-based domains. With this launch, customers using Amazon SageMaker IAM-based domains can add business context to their AWS Glue Data Catalog tables, including business names, descriptions, and README documentation. They can use AI-generated metadata to produce business names and descriptions automatically, reducing the effort of cataloging large numbers of tables. Customers can also create business glossaries so that teams across the organization use consistent definitions for terms like “ARR” or “churn rate,” and define metadata form templates to capture structured attributes such as data classification, retention policies, or ownership details.

With this business context in place, data engineers, analysts, and data scientists can search for and discover tables across the entire domain, filter results by glossary terms and metadata form fields, and request access through subscriptions. After an administrator approves the request, SageMaker Unified Studio automatically grants the necessary AWS Lake Formation permissions to the project. Administrators can also grant access to tables directly from within SageMaker Unified Studio without waiting for a request.

Amazon SageMaker Unified Studio business context, metadata, and governance capabilities in IAM-based domains are available in all AWS Regions where SageMaker Unified Studio is supported. To learn more, visit the Amazon SageMaker Unified Studio documentation.