Govern Amazon Redshift Data Warehouses Data Across Accounts using Amazon SageMaker Unified Studio

This article demonstrates how to implement cross-account data governance for Amazon Redshift using Amazon SageMaker Unified Studio and data mesh architecture.

• Replace manual data sharing with automated, event-driven publishing to the SageMaker Unified Studio catalog
• Establish consistent governance framework across accounts with proper access controls and credential management
• Reduce operational burden on producer clusters through decoupled publishing and subscription workflows
• Enable full audit trail of data access and permissions across AWS accounts
• Support hundreds of producer and consumer accounts through centralized governance layer
• Configure Amazon Redshift connections, data sources, and subscription targets using AWS Secrets Manager and KMS encryption
• Implement multi-database and multi-schema support with separate data sources and subscription targets

Organizations can transition from fragmented, ad-hoc data sharing to a secure, scalable, governed data mesh that reduces operational complexity and accelerates time to value for analytics and AI workloads.