Upcoming Events

October 8, 2026start: 4:00:00 PMend: 5:00:00 PM

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. 

October 15, 2026start: 4:00:00 PMend: 5:00:00 PM

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.

October 28, 2026start: 4:00:00 PMend: 5:00:00 PM

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.

November 5, 2026start: 5:00:00 PMend: 6:00:00 PM

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.

November 19, 2026start: 5:00:00 PMend: 6:00:00 PM

Starburst Workshop: Data Products as Code for Governed, AI-Ready Analytics

Starburst expert Fabricio Pimentel will show how Starburst treats data products like software artifacts: defined in YAML, managed through CLI and API workflows, and promoted through reviewable processes across environments. 

December 1, 2026start: 5:00:00 PMend: 6:00:00 PM

Workshop: Choosing the Right Python Path for Starburst: From DataFrames to Production Pipelines

Starburst supports a few different ways to work with Python: Ibis and PyStarburst as DataFrame APIs, the Trino Python client for direct SQL, and Python UDFs for custom logic. Python UDFs in Starburst Enterprise are currently a public preview and run in a sandboxed environment, so they are best suited for self-contained custom logic rather than code that depends on external files, network access, or arbitrary Python packages.

In this hands-on workshop, we’ll compare them, then build a real pipeline using the Ibis DataFrame API.