If you want to get started with Microsoft Fabric, or you already got started but were a bit daunted by all the options offered by the product, this workshop might be what you need.

You will first learn how Fabric builds on top of the concepts of domains and workspaces, which allow for decentralized administration.

Next, Task Flow shows you various data architectures, and helps you implement them. In this workshop, you will implement a medallion architecture.

The rest of the workshop follows the path laid-out in the Task Flow. The first choice is among the different options for storing data (Lakehouse, Warehouse and Eventhouse) in OneLake.

Next you will see different ways to ingest and transform data: Pipelines, Dataflow Gen 2 (Power Query), T-SQL and Spark. You will practice on using all of them, and learn about the 🙂and 😞 of each.

Once the data is of acceptable quality, you can start building reports. You will learn how to build models on top of your Fabric data, and will learn how models provide a special option to connect to your Fabric data storage, called DirectLake.

Streaming data can also be handled by Fabric. The Kusto language allows you to efficiently query both batch and streaming data and helps you set up an EventHouse. But you can also trigger processes by setting up Data Activators.

Finally, a small demo on how to get started with machine learning is concluding this journey through Microsoft Fabric.

You do not need Fabric experience to attend this workshop, but familiarity with SQL and the basics of Power BI will come in handy during the labs. An environment to practice will be provided during the day.