What is Fabric?

Introduction to Microsoft Fabric

Alex Kuntz

Technical Instructional Designer

A typical data workfow

Issues with the typical data workflow

• Different tools, languages, and redundant storage
• Delays in decision making

Fabric's solution

• End to end data analytics platform that eliminates silos
• Use cases for data engineers, database administrators, data scientists, BI developers, and more

¹ https://azure.microsoft.com/en-us/blog/introducing-microsoft-fabric-data-analytics-for-the-era-of-ai/

Fabric's Workloads

• Data Factory workload for data engineers
• Data Science workload for data scientists (makes sense!)

¹ https://learn.microsoft.com/en-us/fabric/fundamentals/microsoft-fabric-overview

Fabric's Workloads

• Data stored in OneLake is in the Delta-Parquet format

¹ https://azure.microsoft.com/en-us/blog/introducing-microsoft-fabric-data-analytics-for-the-era-of-ai/

All data stored in OneLake

• All workloads use the same data source

¹ https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview

All data stored in OneLake

• All workloads use the same data source

¹ https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview

All data stored in OneLake

• All workloads use the same data source

¹ https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview

All data stored in OneLake

• All workloads use the same data source
• Single unified experience made possible through OneLake

¹ https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview

Let's practice!

Introduction to Microsoft Fabric