Upcoming Events

September 29, 2026start: 8:00:00 AMend: 5:00:00 PM

Starburst at Boston AI Week

Starburst is proud to host a week of events alongside Boston AI Week September 29th thorugh October 1st. Join us for executive panels, meet-ups, and our career fair!

September 29, 2026start: 4:00:00 PMend: 5:00:00 PM

Starburst + dbt Workshop: Building the New Data Stack

Join Starburst expert Michael Markieta for a 60-minute hands-on workshop on how to put these two to work. You will review the design of a medallion architecture for datasets, implement the models in dbt, and execute the pipeline on the Starburst query engine.

October 6, 2026start: 4:00:00 PMend: 5:00:00 PM

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.

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 22, 2026start: 4:00:00 PMend: 5:00:00 PM

Adding Starburst to Your Existing Stack: What Actually Changes and What Doesn’t

In this webinar, we’ll walk through how Starburst can fit into an existing data stack. We’ll also cover workload fit, federation, governance, performance considerations, and when caching or materialization may be the better choice.