OneLake and Data Engineering workload are the “bread and butter” of Microsoft Fabric.

In this session, you’ll understand how to implement and manage highly-performant data engineering solutions in Microsoft Fabric, based on the lake-centric architecture.

We'll first explore OneLake and explain why "all Fabric roads" lead to OneLake. Next, you’ll discover various methods for loading and transforming the data in the lakehouse, as well as different options for monitoring and orchestrating data solutions.

Finally, you’ll learn how to leverage shortcuts and the Direct Lake feature to push your Microsoft Fabric data solutions to a whole new level.

After this session, you’ll have the understanding of OneLake and Lakehouse architecture needed to implement and manage efficient data engineering workloads on the Microsoft Fabric platform.