In this session, Bas, a seasoned data engineer with over a decade of expertise in SQL Server, Azure SQL, and now Fabric, shares his transition journey and insights from building data warehouses with SQL to building them with lakehouses in Microsoft Fabric.

In this session you will learn enough about Fabric and lakehouse concepts to start building your own solutions right away.

The session starts out with a few theoretical concepts to give guidelines, and is then filled with practical examples.
We will go through everything necessary for your first project. From setting up the Fabric Capacity to Workspaces management, environments and importing your own custom Python code.

We end with a practical case study where we implement a Fabric Lakehouse solution for a small B2B services company. During this part you will see examples of the Data Factory orchestration pipelines, the folder and file structure of the data lake, and the PySpark notebooks you need to transform your raw data into insightful information.