In this episode, we discuss the growing adoption of Apache Iceberg as a modern data lake format,

exploring how it's becoming the preferred choice for customers migrating from on-premises to cloud

-native architectures. The conversation covers AWS's deep integrations with Iceberg through

services like Amazon S3, AWS Glue Data Catalog, and SageMaker Lake House, as well as how key

partners like Starburst and Snowflake are enhancing the ecosystem with powerful connectors that

enable federated querying, flexible catalog management, and seamless data interoperability. We

highlight how organizations can easily migrate existing Parquet and ORC data lakes to Iceberg

without rewriting underlying data files, and emphasize that this shift represents a move toward

future-proof data architectures focused on ease of use, consistent governance, and reduced

development time rather than just cost optimization.

Contact us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Antony: https://www.linkedin.com/in/antony-prasad-thevaraj-04398518/

Links:

• https://aws.amazon.com/blogs/storage/build-a-managed-apache-iceberg-data-lake-using-starburst-and-amazon-s3-tables/
• https://aws.amazon.com/blogs/big-data/use-apache-iceberg-in-your-data-lake-with-amazon-s3-aws-glue-and-snowflake/