Access Amazon S3 Iceberg tables from Databricks using AWS Glue Iceberg Rest Catalog in Amazon SageMaker Lakehouse
Big Data Blog
This article discusses how to access Amazon S3 Iceberg tables from Databricks using AWS Glue Iceberg Rest Catalog in Amazon SageMaker Lakehouse. The solution enables unified, open, and secure data lake access across different analytics platforms.
- Allows interoperability between different AWS services and analytics tools using Apache Iceberg REST APIs
- Provides secure, fine-grained access controls through AWS Lake Formation
- Enables unified data management across data lakes and warehouses
- Supports querying data in-place using various AWS and third-party analytics engines
- Requires specific configuration of Databricks clusters and IAM roles
The solution demonstrates how to configure Databricks to connect with AWS Glue Iceberg REST Catalog, manage data access permissions, and query data stored in Amazon S3 using Lake Formation.
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