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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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Toc

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

Summary

In this chapter, you have learned about Microsoft Fabric as a unified platform. It provides all the natively integrated capabilities with which to design and build end-to-end analytics systems, all the way from Data Factory (for data ingestion) and Data Engineering (for data transformation) to Data Science, Data Warehouse, Real-Time Analytics, and Power BI for data visualization.

You also learned about core capabilities, such as OneLake and OneCopy, and how they break data silos and remove the need for data redundancy across different systems by using data storage format standardization (the open source Delta Lake format), which is used by all Fabric engines, making the platform open at every layer and able to avoid vendor lock-ins. You learned about shortcuts and how they let you create data virtualization layers for all your enterprise data (with multi-cloud support), providing access without the need for data movement and copying.

Finally, you learned about how the...

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