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Configure cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark

Big Data Blog

This article provides a detailed technical guide on configuring cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark. The key highlights include:

  • Enables secure cross-account data sharing between AWS accounts using Lake Formation
  • Demonstrates how to share Redshift tables and Amazon S3 Iceberg tables across different accounts
  • Walks through step-by-step configuration in both producer and consumer AWS accounts
  • Uses a retail company example to illustrate data sharing and analytics workflows
  • Involves creating catalog link containers, resource links, and granting fine-grained permissions

The solution enables organizations to unify data analytics and AI/ML workflows across business units while maintaining secure, centralized data access without replication.

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