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

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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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18. Other Books You May Enjoy

Power BI

Power BI is consistently rated as the leading BI tool in the market as it consists of a desktop application called Power BI Desktop for data model and report development, a service for hosting and distributing content, and a mobile app for consuming reports on the go. The broader Fabric workloads have adopted the foundation created by the Power BI online platform to create a portfolio of experiences all leading up to dataset and report creation. Like all the workloads discussed in this chapter, Power BI can be used independently or as part of an end-to-end solution.

The data that’s analyzed and visualized in a Power BI report can come from more than 100 data sources, including Fabric lakehouses and Fabric warehouses. The experiences are more deeply integrated than any other analytics solution available today.

As shown in Figure 2.31, building a report from the Power BI experience page is as simple as pasting data into a table or using an existing dataset that...

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

Table of Contents (19) Chapters

Power BI

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Authors (2)

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