Upcoming Events

We’ll walk through what MCP is, how Starburst exposes data products and SQL endpoints as MCP resources, and how to wire up popular MCP clients (like Claude or ChatGPT Enterprise) to Starburst. From there, we’ll build and iterate on a simple agent that can discover data products, issue governed queries, and run multi-step workflows on top of your lakehouse.

Starburst has shipped a lot recently, and it can be hard to keep up with what’s new and what actually matters for your day-to-day work. In this 60-minute session, we’ll cut through the noise and connect the dots between what’s changed under the hood and how those changes impact your daily workflow.

Senior Product Manager Zachary Hanson, Product Manager Daniel Codeluppi, and Developer Advocate Lester Martin will walk you through the latest in Starburst Galaxy and Starburst Enterprise. 

In this office hours session, Starburst expert Lester Martin will walk through how to automate your data pipelines with job scheduling so they run reliably at scale. We’ll explore the data quality checks available. We will implement multiple checks and review them on the monitoring dashboard. 

In this session, we’ll look at why business metadata is so important to conversational analytics and consider what architectural layers are required to deliver it as part of an integrated GenAI Analytics platform. We will look at how these extra requirements deliver capability at the cost of architectural simplicity and consider how Starburst’s integrated analytics platform reduces complexity whilst still providing architectural optionality through open standards.

In this session, we will look at the different layers of governance that are needed and how they must span physical deployments, LLM access controls and strict data compartmentalisation capabilities in order to prevent unauthorised data exfiltration.

In this 90-minute hands-on workshop, Starburst experts Moa Passador and Lester Martin will guide you through constructing a real AI-assisted workflow on top of your governed data, from first query to repeatable, production-ready pattern.

Whether you’re a data engineer looking to accelerate analysis or a data leader exploring safe AI rollout, you’ll leave with something you built yourself and a clear path to expanding it.