Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse – Part 2

This article details Part 2 of a series on setting up a zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse, focusing on data exploration and advanced analytics capabilities.

• Set up SageMaker Unified Studio as an integrated development environment for data, analytics, and AI
• Import AWS Glue Data Catalog assets to the project using a provided script
• Explore data through SageMaker Lakehouse using Amazon Athena and Amazon Q generative SQL assistant
• Demonstrate schema evolution capabilities using Apache Iceberg
• Showcase time travel and version travel query features for historical data analysis
• Provide monitoring options through Amazon CloudWatch logs and metrics

The integration allows organizations to break data silos, derive insights across applications, and gain operational efficiencies without additional fees beyond existing AWS resource costs.