Implement a data mesh pattern in Amazon SageMaker Catalog without changing applications

This article demonstrates implementing a data mesh pattern using Amazon SageMaker Catalog while preserving existing data repositories and consumer applications unchanged.

• Uses three AWS accounts: producer, consumer, and governance for domain management
• Registers existing S3 data and AWS Glue tables in Lake Formation for access control
• Creates SageMaker Unified Studio projects with producer and consumer project profiles
• Publishes data assets from producer project to SageMaker Catalog
• Consumer project subscribes to published assets without modifying existing Lambda applications
• Lambda function assumes consumer project IAM role to query subscribed data via Athena
• Demonstrates cross-account data sharing with fine-grained Lake Formation permissions
• Includes step-by-step setup for VPCs, IAM roles, Glue databases, and workgroups

This solution enables organizations to adopt data governance through SageMaker Catalog without rearchitecting existing applications or data infrastructure.