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

Christopher Maneu; Emilie Beau; Jean-Pierre Riehl; Romain Casteres; Frederic Gisbert

Softcover

ISBN 10: 180669879X ISBN 13: 9781806698790

Verlag: Packt Publishing, 2025

Inhaltsangabe

Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms

Key Features

• Build a complete data analytics platform with Microsoft Fabric
• Apply proven architectures, governance, and security strategies
• Gain real-world insights from five seasoned data experts
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

• Understand Microsoft Fabric architecture and concepts
• Unify data storage and data governance with OneLake
• Ingest and transform data using multiple Fabric tools
• Implement real-time analytics and event processing
• Design effective semantic models and reports
• Integrate AI and machine learning into data workflows
• Apply governance, security, and compliance controls
• Optimize performance and costs at scale

Who this book is for

This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.

Table of Contents

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
10. Enterprise analysis and reporting
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

Über diesen Titel

Über die Autorin bzw. den Autor

Christopher Maneu is a Principal Data Engineering Advocate at Microsoft, he focuses on data and analytics within the Azure platform. Christopher is part of the Azure Engineering team, working on Microsoft Fabric well before its launch. This early involvement has provided him with in-depth knowledge of the platform's development and capabilities. He has authored multiple books, including a reference book about Microsoft Fabric in French. Additionally, he has contributed to open-source projects related to Microsoft Fabric, such as the 'fabricnotes' repository on GitHub, which offers simple drawings illustrating the main concepts of Microsoft Fabric to empower users to build on the platform

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 180669879X
• ISBN 13: 9781806698790
• Einband: Taschenbuch
• Anzahl der Seiten: 754
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland