Starburst 101 Workshop: The Foundation for Trusted Analytics and AI

How do organizations turn distributed data into trusted, reusable intelligence without moving everything into a single platform?

This introductory session covers how Starburst connects to data across lakes, warehouses, databases, and SaaS applications, then applies the performance, governance, and business context needed to make that data useful for analytics and AI.

Using a practical example, we’ll walk through querying distributed data and transforming it into a governed data product. From there, the session closes by looking at how that foundation extends to modern AI use cases, including AI agents. Attendees will leave with a clear understanding of Starburst’s architecture, core workflows, and how to identify a practical first use case.

Join us to learn how to:

• Query distributed data in place with Starburst
• Understand how Trino and Iceberg work together in Starburst’s Icehouse architecture
• Transform raw data into governed, reusable data products
• Apply access controls and business context to support trusted analytics
• Extend a governed foundation to support AI agents and applications