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Enterprise AI Solutions with Microsoft Fabric: Developing Scalable AI and Data Solutions Using Microsofts Unified Platform [Pehme köide]

  • Formaat: Paperback / softback, kõrgus x laius: 254x178 mm, Approx. 300 p.
  • Ilmumisaeg: 20-Apr-2026
  • Kirjastus: APress
  • ISBN-13: 9798868827051
Teised raamatud teemal:
  • Pehme köide
  • Hind: 58,13 €*
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  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, kõrgus x laius: 254x178 mm, Approx. 300 p.
  • Ilmumisaeg: 20-Apr-2026
  • Kirjastus: APress
  • ISBN-13: 9798868827051
Teised raamatud teemal:
This book is a comprehensive guide for data professionals and AI practitioners looking to build modern, end-to-end AI and analytics solutions using Microsofts 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 Fabrics component architectureAdministration, Bicep, Capacity, Data-stores, Experiences, and Flowsalong 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 Fabrics 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 Fabrics 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 Fabrics unified platform.
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.
Adnan Hashmi brings over 20 years of experience in the technology industry, having worked with clients across healthcare, finance, construction, and consulting. He is currently part of Microsofts Data and AI team, where he engages with customers in healthcare, financial services, and government sectors. He also collaborates closely with Microsoft product groups on technologies like Microsoft Fabric, Cosmos DB, and Azure OpenAI. Adnan is the author of the book "Cognitive Computing Recipes" published by Apress. He is based in the US.