Getting started with Apache Iceberg write support in Amazon Redshift
Big Data Blog
This article demonstrates how to use Amazon Redshift's new Apache Iceberg write support to write data directly to data lake tables without intermediate ETL processes.
- Redshift can now write directly to Apache Iceberg tables in S3 and S3 Tables
- Eliminates complex ETL pipelines between data warehouse and data lake
- Maintains ACID compliance with flexible partitioning strategies
- Uses familiar Redshift SQL syntax for writing to Iceberg tables
- Integrates with AWS Lake Formation for centralized permission management
- Supports both standard S3 buckets and S3 Table buckets
- Enables querying same datasets from Redshift, EMR, and Athena without copying
- Includes step-by-step setup using Glue Data Catalog and Lake Formation
This capability simplifies data architecture by combining warehouse performance with data lake scalability, allowing direct writes from Redshift queries to Apache Iceberg tables.
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