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The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform - Helion

The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform
ebook
Autor: Christopher Maneu, Emilie Beau, Jean-Pierre Riehl, Romain Casteres, Frederic Gisbert
Tytuł oryginału: The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform
ISBN: 9781806698783
Format: ebook
Księgarnia: Helion

Cena książki: 139,00 zł

Książka będzie dostępna od października 2025

Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform.
The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance.
By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value.

 

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Spis treści

The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform eBook -- spis treści

  • 1. Introduction
  • 2. Getting started with Fabric
  • 3. From Lakehouse to First Analysis
  • 4. Unifying Data in OneLake
  • 5. Ingesting Data into Fabric
  • 6. Advanced Data Transformation
  • 7. Organizing data between Data Warehouse and Data Lake
  • 8. Processing and Analyzing Real-Time Data
  • 9. Designing Semantic Models
  • 11. Using AI in Fabric
  • 12. Collaborating as a team
  • 13. Architecture
  • 14. Securing Your Data Platform
  • 15. Administer Fabric
  • 16. Mastering and Optimizing Platform Costs

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