Develop a Fabric solution in a day

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.

Fabric can be used to implement a data mesh or a data fabric, so first you'll learn a bit about these architectures and the use of domains in setting things up.

Then, you'll learn about the 5 most important 'experiences' offered by Microsoft Factory: Data Ingestion, Data Lakehouse and Warehouse, Spark, Streaming data and Reporting:

Fabric offers 2 important data ingestion approaches: Pipelines and Dataflow Gen 2 (Power Query). You will see them both in action, and learn about the 🙂and 😞 of each.

The Ingested data gets stored in a Data Lake, which in Fabric is called OneLake. But as you will see, that data automatically becomes part of a logical data warehouse as well, including a semantical model for reporting.

Spark is an open source parallel processing framework that can both be used to cleanse your OneLake data, serve it as tables to reports, or can be used to do advanced analytics and machine learning. Especially people who coding skills will prefer this way of interacting with the data.

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.

Last, but not least, Microsoft Fabric also offers a reporting experience, which most already know under the name "Power BI". In this training day, you will experience how easy it is to build reports on the data from OneLake, Spark or the EventHouse.

At the end of the day, you have experienced the 5 most important aspects of Fabric, and how they can be combined to help you build your data analytics solution.

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