Simplify real-time analytics with zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse

AWS has introduced a zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse, simplifying data analytics and AI workflows by eliminating complex ETL pipelines.

• Enables near real-time data synchronization between DynamoDB and SageMaker Lakehouse
• Uses change data capture (CDC) to automatically sync data updates and schema changes
• Leverages Apache Iceberg format for reliable performance with ACID transaction support
• Supports multiple query engines like Athena, Redshift, AWS Glue, and Amazon EMR
• Provides data scientists and analysts immediate access to fresh data with minutes-long synchronization

The solution allows organizations to analyze NoSQL data instantly without building custom data pipelines, making real-time insights more accessible across various industries like ecommerce and gaming.