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Free Download The Definitive Guide to Microsoft Fabric: From discovery to building a unified, secure, and scalable data platform
English | 2025 | ISBN: 180669879X | 754 pages | True PDF | 106.02 MB
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
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.
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