Most Databricks cost overages doesn't look like waste. It looks like a cluster somebody forgot to stop. It accumulates in jobs with no timeout, pipelines reprocessing data that hasn't changed, and by the time the bill reflects it, the damage has been running for weeks.
Join Olivier Soucy, principal at okube.ai and author of the Guide to Databricks Cost Optimization, and Ian Whitestone, SELECT co-founder and CEO, for a hands-on walkthrough of the configurations, query patterns, and governance controls that actually move the needle on your Databricks bill.
What you'll learn
How to query your system tables to pinpoint exactly what's driving your Databricks bill
The configurations that stop the most common sources of waste, shippable the same day
Governance controls that scale without relying on everyone doing the right thing
Ian previously led data teams at Capital One and Shopify before founding SELECT in 2022 to help organizations optimize and manage their Snowflake, Databricks, and other data environments at scale.
Olivier is the Founder and Principal Data Engineer at okube.ai, an official Databricks Partner. He's spent his career building data systems at scale, most recently as Head of Data at Newton and across 13 years at CAE.
