Full Description
This book is a comprehensive guide for data professionals and AI practitioners looking to build modern, end-to-end AI and analytics solutions using Microsoft's powerful Fabric platform. Whether you're launching a new enterprise data strategy or modernizing an existing pipeline, this book offers a practical roadmap to implementing scalable, cloud-native AI in your organization.
The book begins by explaining the role of Microsoft Fabric in the analytics framework and lays out a clear foundation for building AI-driven solutions. Readers are introduced to Fabric's component architecture—Administration, Bicep, Capacity, Data-stores, Experiences, and Flows—along with practical steps to build ingestion pipelines, engineer data, and deploy machine learning models. Subsequent chapters walk through real-world use cases, showing how Fabric simplifies complex workflows by unifying capabilities like data ingestion (OneLake, Mirroring, Shortcuts), serverless Spark-based AI Notebooks, and model training pipelines. Readers will also learn how to create and manage AI Functions and Skills, integrate AI directly into Power BI reports, and harness the Semantic Link library for programmatic data access. The book concludes by exploring how to apply MLOps and LLMOps principles within Microsoft Fabric, enabling continuous delivery and governance for enterprise AI applications. With a strong focus on both the technical architecture and business outcomes, this book empowers readers to turn Fabric's unified platform into real, enterprise-grade AI solutions.
Whether you're a data engineer, AI developer, or analytics leader, this guide will help you unlock the full potential of Microsoft Fabric in your enterprise AI journey.
What you will learn:
How to build end-to-end AI and analytics solutions using Microsoft Fabric's unified SaaS platform.
Understand key components of Fabric like ingestion, data engineering, machine learning, and semantic access.
How to create and manage AI notebooks, functions, and skills using serverless Spark and Python-based tools.
How to integrate AI seamlessly into Power BI reports and dashboards with Direct Lake and Fabric F capacity.
Who this book is for:
This book is intended for BI professionals, architects, and decision-makers building AI solutions with Microsoft Fabric. It assumes basic knowledge of BI and analytics. Data engineers and developers will learn how to streamline AI and ML workflows using Fabric's unified platform.
Contents
Chapter 1: Why Fabric for Analytics' Solutions.- Chapter 2: The ABCDEF of Microsoft Fabric.- Chapter 3: Anatomy of a Fabric Analytics Solution.- Chapter 4: Ingestion, Data Engineering, and Data Science.- Chapter 5: The Machine Learning Pipeline.- Chapter 6: Developing AI Notebooks in Microsoft Fabric.- Chapter 7: Using AI in Power BI.- Chapter 8: Creating Microsoft Fabric AI Functions and AI Skills.- Chapter 9: Semantic Link.- Chapter 10: MLOps and LLMOps for Microsoft Fabric Solutions- Chapter 11: AI in the Enterprise.
