Upcoming Events


Workshop: Apache Iceberg in Practice: Build, Evolve, and Optimize
Apache Iceberg tables need more than a strong initial design. They need to evolve safely as data and requirements change, and stay healthy as they grow. This session follows a single table through its full lifecycle, from creation to ongoing maintenance, so you leave with a practical operating model you can apply right away.
Office Hours: Governed AI Workflows with AIDA Skills and Guardrails
Join our 30-minute Office Hours to see how AIDA Skills capture domain expertise as reusable workflows and instructions, making it easier to apply business context consistently through natural language. The session will also cover guardrails that define how AIDA behaves, including boundaries around what agents can access, use, and discuss, while leaving core data permissions in place.
The Live Data Stack: From Streams to Insights
Real-time data isn’t useful until it becomes a real-time answer. This workshop follows a single pipeline from a live Kafka stream all the way to a business-ready insight, showing exactly how each stage fits together so you can build the same stack yourself.
Starburst Galaxy, End to End: A Guided Tour of the Modern Data Platform
New to Starburst Galaxy? Or ready to see what’s new? Join Starburst Galaxy expert Bo Myers for a guided, end-to-end tour. Learn how teams move from connected data to trusted insight, all in one modern data platform.
Office Hours: How to Test and Improve AI Accuracy
In this 30-minute Office Hours session, Puneet Arora will show you how Starburst helps teams ground AI outputs in governed data products and reliable enterprise data access.
Finops for the Enterprise Intelligence Platform: Controlling Query Costs, AI Costs, and Everything in Between
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.
