Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse – Part 1

This article introduces Amazon DynamoDB's zero-ETL integration with Amazon SageMaker Lakehouse, a new feature that enables seamless data analytics without complex ETL pipelines.

• Allows running analytics on DynamoDB data without impacting operational workloads
• Provides enhanced query flexibility using SageMaker Lakehouse
• Supports partitioning, schema evolution, and time travel for historical analytics
• Continuously replicates data changes from DynamoDB to S3 every 15-30 minutes
• Requires enabling point-in-time recovery (PITR) for the DynamoDB table

The solution demonstrates how a credit card company can gain deeper insights into customer behavior by integrating operational data with advanced analytics tools, all with minimal setup and management.