Session abstract
What you’ll learn
AI models and analytics platforms may get the spotlight, but none of them work without a constant supply of usable, reliable data. So where does that data come from, and what does it take to move it from messy source systems into dashboards, warehouses, and machine learning pipelines at enterprise scale? In this session, we will break down the basics of data engineering in a practical, approachable way. You will learn how data flows through modern organizations, the patterns teams use to prepare and deliver it, and the challenges data engineers face in keeping the beast fed.