Aurora PostgreSQL zero-ETL integration with Amazon SageMaker

This article explains how to set up Aurora PostgreSQL zero-ETL integration with Amazon SageMaker, enabling near real-time data replication without custom ETL pipelines.

• Zero-ETL automatically replicates Aurora PostgreSQL data to AWS Glue managed catalog as Apache Iceberg tables
• Uses enhanced logical replication to capture inserts, updates, and deletes from the database transaction log
• Eliminates ETL complexity, reduces operational overhead, and enables real-time analytics on operational data
• Requires configuring Aurora PostgreSQL cluster parameters, creating AWS Glue managed catalog, and setting up IAM roles and Lake Formation permissions
• Data becomes queryable via Amazon Athena, Amazon Redshift, and SageMaker AI using SQL and Apache Spark
• Includes step-by-step setup instructions using AWS CLI for source database, target catalog, and integration creation

The integration simplifies data pipeline architecture by automatically streaming database changes to a centralized lakehouse for analytics and machine learning workloads.