#TrueDataOps Podcast - Peter Chase - Ep.61 - S4.EP8

Building in Snowflake is exciting. Keeping it running, scalable, & AI-ready? That’s where things get real. Too often, teams move fast to prove value, only to find themselves buried in broken pipelines, rising costs, & constant rework. What starts as momentum quickly turns into maintenance & unreliable data that can’t support AI. In this episode of #TrueDataOps, Peter Chase from Catalyst BI, an award-winning Snowflake partner supporting over 300 clients shares lessons from years of helping organizations deliver lasting value. From early design decisions to long-term sustainability, he explains why best practices aren’t optional, they’re foundational to trusted, AI-ready data. We’ll explore how DataOps brings structure, automation, & discipline to the data lifecycle so teams can build fast, stay fast, & be ready for what’s next.DataOps.live is the DataOps automation platform that helps enterprises operationalize data for trusted AI. With built-in automation, observability, and governance, DataOps.live enables data teams to deliver reusable AI data products and scale their impact across the business. Backed by Snowflake Ventures, Anthos Capital and Notion Capital, DataOps.live partners with global enterprises to make their data AI-ready.