Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

This article discusses designing a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation. It presents a methodology for deploying a data mesh consisting of multiple Hive data warehouses across EMR clusters, enabling organizations to take advantage of the scalability and flexibility of EMR clusters while maintaining control and integrity of their data assets across the data mesh.

Specifically, the article covers:

• Use cases for Hive metastore federation for Amazon EMR
• Solution overview with producer, central catalog, and consumer accounts
• Prerequisites and step-by-step instructions for setting up the producer, catalog, and consumer accounts
• Data analyst, batch job, and data scientist use cases for accessing the federated data
• Clean up instructions for deleting the deployed resources