Use Databricks Unity Catalog Open APIs for Spark workloads on Amazon EMR
Big Data Blog
This article explains how to use Databricks Unity Catalog Open APIs with Amazon EMR Serverless for seamless data processing and governance across platforms.
- Enables reading from and writing to Databricks Unity Catalog tables using Spark
- Supports both Delta and Iceberg table formats
- Provides a solution for cross-platform data interoperability without data duplication
- Requires configuring EMR Serverless with specific Spark configurations
- Allows fine-grained access control and governance across different data platforms
The solution involves configuring Unity Catalog for external access, setting up EMR Serverless with appropriate runtime configurations, and using PySpark to interact with tables across platforms.
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