AWS Big Data Blog
Author: Raju Ansari
Raju is a Senior Software Development Engineer at AWS, specializing in scalable, secure, serverless solutions that simplify data analytics and AI agent development. He helps organizations modernize their data analytics infrastructure and develop agentic AI applications. Currently, Raju focuses on building foundational AI services, including Amazon Bedrock Agents, which help developers create intelligent, autonomous applications at scale. Outside of work, Raju is passionate about giving back to the tech community. He actively volunteers at IEEE events and mentors early- and mid-career professionals to help nurture the next generation of technology leaders.
Improve DynamoDB analytics with AWS Glue zero-ETL schema and partition controls
In this post, you learn how to replicate Amazon DynamoDB data to Apache Iceberg tables in Amazon S3 through a zero-ETL integration. We walk through the challenges that the DynamoDB nested, schema-flexible data model introduces for analytics workloads, and show you how to configure schema unnesting and data partitioning for a sample product catalog table. We also cover how to query the replicated data in Amazon Athena using standard SQL.