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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

Data meshes in Fabric – a primer

A data mesh is a federated data architecture that emphasizes decentralizing data across business functions or domains such as marketing, sales, human resources, and more. It facilitates organizing and managing data in a logical way to facilitate the more targeted and efficient use and governance of the data across organizations. This provides more ownership to the producers of a given dataset by encouraging a shift away from the giant, monolithic enterprise-wide data architecture.

Important note

The term data mesh was coined by Zhamak Dehghani (https://martinfowler.com/articles/data-mesh-principles.html) and is founded on four principles: “domain-driven ownership of data”, “data as a product”, “self-serve data infrastructure platform”, and “federated governance”. A detailed discussion about data meshes is out of the scope of this chapter; however, you can learn more about it at https...

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