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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

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082287
Length 338 pages
Edition 1st Edition
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Authors (2):
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Bradley Schacht Bradley Schacht
Author Profile Icon Bradley Schacht
Bradley Schacht
Arshad Ali Arshad Ali
Author Profile Icon Arshad Ali
Arshad Ali
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Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

Understanding Different Workloads and Getting Started with Microsoft Fabric

Microsoft Fabric brings all the data and analytics tools together to address the need for every aspect of an organization’s analytics. With its unification of different capabilities, it offers different types of workloads so that you can design and build your end-to-end analytics systems.

In the previous chapter, you learned about Fabric, its core capabilities, and the different types of workloads it supports at a high level. In this chapter, you will dive deeper into each type of workload and the core capabilities each of these workloads provides. This will help you make timely and better decisions when you’re building your end-to-end analytics systems.

Here is what you will learn about as part of this chapter:

  • Getting started with Microsoft Fabric
  • Data Factory
  • Data engineering
  • Data warehouses
  • Data Science
  • Real-Time Analytics
  • Power BI

Let’s...

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