
☃️THE TRAINING BAR ❄️
The largest Microsoft Fabric community event in Belgium
FULL DAY OF MICROSOFT FABRIC TRAINING !
Introduction to Microsoft Fabric
This chapter introduces the concepts of data lakes and the medallion architecture. It also provides a high-level overview of the core building blocks of Microsoft Fabric.
Understanding Data Lakes and the Medallion Architecture
The Core Building Blocks of Microsoft Fabric
Working with Workspaces in Microsoft Fabric
Storing Data in Microsoft OneLake
Microsoft OneLake provides a single, unified, logical data lake for your entire organization. Similar to OneDrive, Microsoft OneLake is automatically included with every Microsoft Fabric tenant and is designed to be the central location for all your analytics data. To store data in OneLake, you must create either Lakehouses or Warehouses.
Introducing Microsoft OneLake
Creating and Using a Lakehouse
Creating and Using a Warehouse
Getting Started with Data Factory
Data Factory enables you to ingest, prepare, and transform data from a wide variety of sources, including databases, files, and cloud-based services. This chapter demonstrates how to build pipelines that load data into a Lakehouse or Warehouse.
What is Data Factory?
Copying Data into a Lakehouse Using Pipelines
Creating Dataflows to Ingest and Transform Data
Data Engineering Using Apache Spark
Data engineering involves designing and building systems that allow people to collect and analyze raw data from multiple sources and formats. Using popular languages such as Python, SQL, and R, you can load, transform, and analyze data via interactive notebooks.
Introducing Apache Spark
Working with Notebooks in Fabric
Reading and Writing Data Using DataFrames
Data Cleansing with PySpark
Reporting in Fabric
Power BI transforms your organization's data into rich, interactive visuals, allowing you to monitor your business and quickly gain insights. In this chapter, you will learn how to connect Power BI to data stored in Microsoft Fabric.
Creating Power BI Reports
DirectQuery vs. Import with OneLake
Using Direct Lake Mode