Read and write S3 Iceberg table using AWS Glue Iceberg Rest Catalog from Open Source Apache Spark

This article provides a comprehensive guide to using AWS Glue Iceberg REST Catalog with Apache Spark to read and write Iceberg tables on Amazon S3, leveraging AWS Lake Formation for metadata and access management.

• Demonstrates how to set up Lake Formation permissions for third-party data access
• Explains how to configure Apache Spark to interact with Glue Data Catalog using Iceberg Rest API
• Provides a detailed Python script for creating, inserting, and reading Iceberg tables on S3
• Shows how to grant access to other data teams using Lake Formation
• Highlights the flexibility of accessing Iceberg tables across different environments

The solution enables organizations to efficiently manage and process data across data lakes and warehouses using open-source tools and AWS services.