Book Image

Learn Microsoft Fabric

By : Arshad Ali, Bradley Schacht
Book Image

Learn Microsoft Fabric

By: Arshad Ali, Bradley Schacht

Overview of this book

Discover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.
Table of Contents (19 chapters)
Free Chapter
1
Part 1: An Introduction to Microsoft Fabric
4
Part 2: Building End-to-End Analytics Systems
9
Part 3: Administration and Monitoring
12
Part 4: Security and Developer Experience
15
Part 5: AI Assistance with Copilot Integration

Transformation

Now that you have already ingested the raw data from the source to the Files section of the wwi_bronze lakehouse, you can take this data and transform and prepare it to create Delta Lake tables in the wwi_silver lakehouse as a next step.

Importing notebooks

The first step is to import notebooks using the following steps:

  1. Download the notebooks found in the ch3 folder of this chapter’s GitHub repo (https://github.com/PacktPublishing/Learn-Microsoft-Fabric/tree/main/ch3) to your local machine. If required, unzip or uncompress them.
  2. From the workload switcher located at the bottom left of the screen, select Data engineering. Select Import notebook from the New section at the top of the landing page of the Data Engineering experience.
Figure 3.12 – The option to import notebooks

Figure 3.12 – The option to import notebooks

  1. Select Upload from the Import status pane that opens on the right-hand side of the screen. Select all three notebooks that were...