Reference guide for building a self-service analytics solution with Amazon SageMaker

This article provides a comprehensive guide for building a self-service analytics solution using Amazon SageMaker Catalog, addressing data fragmentation across multiple sources.

• SageMaker Catalog enables unified data discovery and access across S3, Redshift, and Snowflake
• Retail use case demonstrates integrating wholesale, store, and online sales data from disparate systems
• Step-by-step setup includes creating SageMaker Unified Studio domain, projects, and data connections
• Cross-account access configured for S3, Redshift, and Snowflake data sources
• Business glossary creation standardizes terminology and improves data discoverability
• Fine-grained access controls enforce governance with role-based permissions
• Query Editor enables cross-source analysis without data movement or duplication
• Centralized metadata management ensures compliance and security across all sources

SageMaker Catalog provides organizations a unified platform for self-service analytics, reducing time-to-insight while maintaining strong governance and compliance across multiple data sources.