Building Data Pipelines with Ibis and Starburst

Python-first teams don’t want to bounce between SQL, notebooks, and orchestration tools just to get reliable pipelines into production. In this 90‑minute, hands-on workshop, we’ll dive deep into how Ibis and Starburst work together to simplify data pipelining—from interactive exploration to repeatable, production-ready jobs.

We’ll walk through designing pipelines in Ibis that push compute down to Starburst, orchestrating multi-step transforms, and building patterns you can reuse across analytics and AI workloads. You’ll work through a hands-on lab exercise using the Ibis Dataframe API.

You’ll learn how to:

• Use Ibis to express complex transformations in Python while pushing execution down to Starburst for performance and scale.
• Turn exploratory Ibis workflows into repeatable, maintainable pipelines for analytics and AI use cases.
• Change the backend compute engine with configuration instead of code.