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On-demand workshop

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 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.

Monica Miller

Senior Developer Advocate at Starburst

Antony Prasad Thevaraj

Senior Partner Solutions Architect at AWS

Start Free with
Starburst Galaxy

Up to $500 in usage credits included

  • Query your data lake fast with Starburst's best-in-class MPP SQL query engine
  • Get up and running in less than 5 minutes
  • Easily deploy clusters in AWS, Azure and Google Cloud
For more deployment options:
Download Starburst Enterprise

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