You're reading from Learn Microsoft Fabric A practical guide to performing data analytics in the era of artificial intelligence

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781835082287

Length 338 pages

Edition 1st Edition

Tools

Azure Data Factory

Concepts

Artificial Intelligence

Authors (2):

Bradley Schacht

Arshad Ali

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1: An Introduction to Microsoft Fabric FREE CHAPTER

2. Chapter 1: Overview of Microsoft Fabric and Understanding Its Different Concepts

3. Chapter 2: Understanding Different Workloads and Getting Started with Microsoft Fabric

4. Part 2: Building End-to-End Analytics Systems

5. Chapter 3: Building an End-to-End Analytics System – Lakehouse

6. Chapter 4: Building an End-to-End Analytics System – Data Warehouse

7. Chapter 5: Building an End-to-End Analytics System – Real-Time Analytics

8. Chapter 6: Building an End-to-End Analytics System – Data Science

9. Part 3: Administration and Monitoring

10. Chapter 7: Monitoring Overview and Monitoring Different Workloads

11. Chapter 8: Administering Fabric

12. Part 4: Security and Developer Experience

13. Chapter 9: Security and Governance Overview

14. Chapter 10: Continuous Integration and Continuous Deployment (CI/CD)

15. Part 5: AI Assistance with Copilot Integration

16. Chapter 11: Overview of AI Assistance and Copilot Integration

17. Index

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Reporting with Power BI

As with all the experiences in Fabric, real-time analytics integrates seamlessly with Power BI to create stunning visuals and actionable reporting. You can start creating a Power BI report directly from a KQL database or a KQL queryset. This will automatically create a dataset so you can get to work building the report quickly.

While not covered in this book, you can author reports in Power BI Desktop as well, as you are not restricted to the web browser report development experience. This is accomplished by copying the query URI from the KQL database in Fabric and entering it in Power BI Desktop’s Azure Data Explorer (Kusto) connector.

Creating a new Power BI report

Before we can add any visualizations to a Power BI report, we first need to create a blank report that is connected to a KQL database. This can be accomplished in a variety of ways from the web browser and Power BI Desktop. In this chapter, we will start building the report from...