Author: Pradeep Misra

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technologies (BDT) team has built an enterprise data catalog Andes for sharing datasets under well-defined policies. However, teams created catalog of local datasets and other non-tabular assets such as dashboards and metrics, outside Andes. This made it difficult to discover all assets in a consolidated way. In this post, we share how Amazon.com is working to integrate catalogs by extending enterprise data catalog Andes with Amazon SageMaker.

In this post, we introduce authorization policies for custom asset types—a new governance capability in Amazon SageMaker that gives organizations fine-grained control over who can create and manage assets using specific templates. This feature enhances data governance by allowing teams to enforce usage policies that align with business and security requirements across the organization.

Amazon SageMaker Catalog now supports metadata rules allowing organizations to enforce metadata standards across data publishing and subscription workflows. In this post, we guide you through two workflows: setting up metadata enforcement rules for a specific domain and publishing an asset or data product in a catalog, and setting up metadata enforcement rules for a specific domain and subscribing to an asset or data product that is owned by a project within that domain.

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. Multiple users are often mapped to the same role where they need […]