Modern data teams face a growing challenge: Microsoft Fabric offers multiple ways to land, transform, and orchestrate data-but choosing the wrong combination can lead to unnecessary complexity, performance issues, and difficult maintenance.

This session focuses on how to design a clear and scalable data integration architecture in Microsoft Fabric. Instead of reviewing every feature in isolation, we will examine real integration patterns and decision criteria for selecting the right tools for specific scenarios.

Through live demonstrations, we will explore when to use Data Pipelines versus OneLake shortcuts, when Spark notebooks are the right choice for transformation, where Dataflows Gen2 fit into business logic processing, and how to decide between Lakehouses, Data Warehouses, Eventhouses, and SQL endpoints.

By the end of the session, you will understand how to evaluate integration options, combine multiple techniques in a single architecture, and design maintainable landing and transformation zones. You will leave with practical patterns you can apply immediately to your Fabric projects.