Data Engineering workload in Microsoft Fabric empowers data teams to accelerate their analytics initiatives. To maximize its potential, effective administration and capacity management are crucial when operating in production. This session will delve into the various levels of administrative and governance controls available within workspaces, capacities for Fabric Data Engineering, including Notebooks, Lakehouses, and Spark Job Definitions

This session will cover:
Establishing a Robust Governance Framework: Understand administrative roles, permissions, and best practices for managing compute

Optimizing Resource Allocation: Learn how to effectively manage workspaces and capacities to ensure optimal performance and cost efficiency.

Scaling Your Data Platform: Discover best practices for scaling Fabric Data Engineering to meet the growing demands of your organization.