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THE SESSION

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.

THE SPEAKER
Bas is founded Kimura and is an experienced Data Solution Architect with over 12 years as a consultant in various technologies but focusing on Microsoft Fabric currently.

He speaks, creates YouTube videos, and blogs about these experiences to share knowledge with the community.

He holds a Microsoft Data platform MVP award.

In his spare time he likes to practice sports (Brazilian jiu-jitsu, running, weight lifting) and also to travel with his wife, son, and their three-year-old dachshund Chester.

Related topics

Business Intelligence
Data Analytics
Data Engineering
Power BI

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