Upcoming Events

Starburst is Sapphire Sponsor at Qlik Connect April 13th – 15th. Stop by booth 212 to meet our experts and grab our exclusive swag!

For more than a decade, organizations have relied on dashboards, reports, and BI tools to guide decision-making. But as AI moves from experimentation into production, many companies are discovering that a data strategy built for dashboards can’t power AI-driven decisions. 

The challenge isn’t the models anymore. It’s getting AI access to the right data with the business context needed to turn insight into action. In this session, Starburst CEO Justin Borgman explores how enterprise intelligence is evolving from static reporting to dynamic, AI-driven decision systems. He’ll outline what organizations need to make that shift: a federated, governed data foundation that allows AI to access and understand data wherever it lives. 

 

Modern data lakehouses depend on Apache Iceberg tables staying compact, performant, and cost‑efficient. But keeping them that way manually is tedious and error‑prone. In this live office hours session, Starburst expert Lester Martin will walk through practical approaches for automating Iceberg table maintenance and keeping production workloads running smoothly.

Topics will include:

• The various types of table maintenance activities 
• The consequences of not performing table maintenance
• The benefits of automating vs. manually scheduling maintenance activities

We’re heading to Google Cloud Next to talk about a problem every data team knows: the dashboard backlog.

As AI moves into production, teams need more than static reports. They need systems that can query, reason over, and act on trusted data across the enterprise. 

Stop by Booth #4319 to see how Starburst helps organizations move from dashboards to conversational analytics and production-ready AI.

Apache Iceberg enables you to manage data changes in your lakehouse with the same safety and control teams expect from modern software development. But most organizations only use a fraction of their capabilities.

In this 90-minute hands-on session, we’ll go beyond basic snapshots and time travel to explore how Iceberg features like rollbacks, branching, and tagging enable safer experimentation, easier recovery, and more controlled data deployments.

AI is no longer a question of if—but how fast you can deliver real outcomes without compromising control.

For financial institutions, the challenge isn’t access to AI. It’s turning fragmented, governed data into something usable to create business impact, while operating within complex regulatory and multi-country environments. But it doesn’t have to take years.

In this session, Starburst breaks down how leading financial institutions can launch production-ready AI use cases in just 90 days–without replatforming their entire data estate.