Hands-On Workshop

Building and visualizing your data lakehouse with AWS, Trino, and Iceberg

October 16 at 8:00am PT | 11:00am ET | 4:00pm GMT

Register now

Join Antony Prasad Thevaraj, Senior Partner Solutions Architect at AWS and Monica Miller, Senior Developer Advocate at Starburst on October 16 for a hands-on workshop on building and visualizing your data lakehouse with AWS, Trino, and Iceberg.

The data lakehouse is a cost-effective, performant, and flexible data architecture that capitalizes on the separation of storage and compute. By choosing Amazon S3 as your storage, and Starburst as your compute engine, you are building a foundation for your end-to-end data platform that provides a single point of access for teams to discover, govern, analyze, and share data in and around your data lakehouse. In this session, Antony and Monica will break down the components of a data lakehouse, exploring technologies such as Apache Iceberg and Trino, while also utilizing native cloud services such as Amazon S3 and Amazon Glue. After building a data lakehouse, the pair will demonstrate visualizing data within the lakehouse with AWS Quicksight breaking down barriers by showcasing how organizations can drive extremely efficient time to insight.

All registrants will receive the recording!