Efficient data processing isn’t just about writing code that works — it’s about writing code that scales. In Microsoft Fabric, the difference between a query that flies and one that drags often comes down to how effectively the work is distributed across the cluster and pushed down to the underlying engine.

This session dives into the core principles of scalable data development, revealing the key practices that ensure your transformations and queries run where the data lives, not just where the code sits. We’ll discuss how to think about pushdown logic, how distribution impacts performance, and what design patterns separate efficient pipelines from costly ones.

Expect a clear, practical exploration of what truly happens under the hood when Fabric distributes work — and how you can influence it through your code, your data model, and your execution strategy.

By the end, you’ll walk away with a set of actionable best practices to make your Fabric workloads faster, cheaper, and more reliable — scaling intelligently across the full power of the platform.