Douglas Barrett

No one talks about it, but data teams are tired. They're tired of managing thousands of tables, brittle transformation logic and AI pilots built on foundations no one fully trusts. The problem isn’t data volume. It’s overload. Code overload demands disciplined transformation. Data overload demands intelligent cataloging. And chaos erodes trust. In this session, we’ll show how modern data teams restore order with a metadata-driven data operating layer that standardizes transformation, connects governance to build-time and makes data quality proactive instead of reactive. Because AI doesn’t fix disorder, it amplifies it.

This hands-on lab shows you how to build powerful data pipelines in Coalesce using AI. Learn how Coalesce unlocks Snowflake by combining standardized components with rapid, AI-generated code. You’ll explore the interface, use natural language to transform and model data, and practice generating, building, reviewing and refining pipelines. Along the way, you’ll gain confidence reading and supporting your pipelines while experimenting with rich column-level metadata, all in a workflow designed for data engineers.