Upcoming Events

September 24, 2026start: 4:00:00 PMend: 5:00:00 PM

Office Hours: Starburst Console’s Unified Cost, Usage, and Billing Visibility

Our September Office Hours walks through how Console brings billing, telemetry, and usage insights into a single view across your Starburst environment. 

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

Starburst Workshop: Iceberg Ingestion and Table Optimization

Getting data into Iceberg is only half the job. Without ongoing maintenance, tables accumulate small files, stale snapshots, and orphaned data that quietly erode query performance over time.

In this hands-on workshop, Starburst expert Ahmed Niyaz will cover both sides of running Iceberg in production: getting data in reliably, and keeping tables fast once it’s there.