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Learn Microsoft Fabric

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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18. Other Books You May Enjoy

Summary

Microsoft Fabric is designed from the ground up for the age of AI and is delivered as a single SaaS platform. In this chapter, you saw how quickly you can set up a Microsoft Fabric tenant and create a Fabric workspace. You also learned about different types of workloads (Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Analytics, and Power BI) and how they provide a unified experience in building analytics systems.

With this knowledge, it’s time to dive deeper into each of these workloads and build an end-to-end analytics system. In the next chapter, you will build your first analytics system in Fabric based on the lakehouse architecture, followed by another one based on a modern data warehouse.

The rest of the chapter is locked

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Authors (2)

Arshad Ali

Arshad Ali

Arshad Ali is a principal product manager at Microsoft, working on the Microsoft Fabric product team in Redmond, WA. He focuses on Spark Runtime, which empowers both data engineering and data science experiences. In his previous role, he helped strategic customers and partners adopt Azure Synapse and Microsoft Fabric. Arshad has more than 20 years of industry experience and has been with Microsoft for over 16 years. He is the co-author of the book Big Data Analytics with Azure HDInsight and the author of over 200 technical articles and blogs on data and analytics. Arshad holds an MBA from the Foster School of Business at the University of Washington and an MCA from India.

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Schacht

Schacht

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.

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