Starburst + dbt Workshop: Building the New Data Stack

A great data stack thrives when each layer is composed of tools that excel at their specialized role. Some tools move your data, others model and shape it. When it comes to combining an execution engine with a transformation framework, Starburst and dbt are complementary by design. The result: pipelines that are more powerful, more adaptable, and more resilient.

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.

We’ll also cover how this approach:

• Supports open table formats like Apache Iceberg
• Leverages multiple data sources via Starburst federation capabilities
• Creates a stronger foundation for governed, AI-ready analytics workflows 

Attendees will leave with practical, hands-on experience connecting dbt to Starburst, modeling across distributed data, and modernizing pipeline design without giving up optionality.