Upcoming Events

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.

This session introduces a unified FinOps approach that covers all three cost dimensions in one view: traditional query workloads, cluster-level spend, and the emerging cost of AI-powered queries through AIDA. You’ll see how the new experience attributes costs by team, workload, and query type, including which AIDA interactions are driving the most consumption, and how to use that visibility to optimize, chargeback, and govern AI spend before it becomes a budget conversation you weren’t prepared for.

This session connects that foundation to Starburst’s direction toward context-aware data platforms, where governed data products become the interface layer for dashboards, assistants, and agentic workflows. Monica will also share a behind-the-scenes look at how Starburst applied this approach internally during its own AIDA rollout.

Most teams using Iceberg in production are only scratching the surface of what it can do. Snapshots and time travel are table stakes—branching, tagging, and rollback workflows are where Iceberg starts to feel like a proper engineering discipline rather than just a file format. In this 30-minute office hours session, Starburst expert Lester Martin will walk through how to use Iceberg’s branching and tagging capabilities to make your lakehouse safer to operate, easier to recover, and more controlled to deploy.