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Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence

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Description

Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructionsKey FeaturesExplore Microsoft Fabric and its features through real-world examplesBuild data analytics solutions for lakehouses, data warehouses, real-time analytics, and data scienceMonitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and controlPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape.In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You'll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real- time analytics, and implement machine learning and AI models. As you progress, you'll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you'll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey.By the end of this book, you'll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.What you will learnGet acquainted with the different services available in Microsoft FabricBuild end-to-end data analytics solution to scale and manage high performanceIntegrate data from different types of data sourcesApply transformation with Spark, Notebook, and T-SQLUnderstand and implement real-time stream processing and data science capabilitiesPerform end-to-end processes for building data analytics solutions in the AI eraDrive insights by leveraging Power BI for reporting and visualizationImprove productivity with AI assistance and Copilot integrationWho this book is forThis book is for data professionals, including data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers who want to build a future-ready data analytics solution for long-term success in the AI era.For PySpark and SQL students entering the data analytics field, this book offers a broad foundation for developing the skills to build end-to-end analytics systems for various use cases. Basic knowledge of SQL and Spark is assumed.Table of ContentsOverview of Microsoft Fabric and Understanding Its Different ConceptsUnderstanding Different Workloads and Getting Started with Microsoft Fabric Building an End-to-End Analytics System - LakehouseBuilding an End-to-End Analytics System - Data WarehouseBuilding an End-to-End Analytics System - Real-Time AnalyticsBuilding an End-to-End Analytics System - Data ScienceMonitoring Overview and Monitoring Different WorkloadsAdministering FabricSecurity and Governance Overview(N.B. Please use the Look Inside option to see further chapters) Read more

Publisher ‏ : ‎ Packt Publishing (February 29, 2024)


Language ‏ : ‎ English


Paperback ‏ : ‎ 338 pages


ISBN-10 ‏ : ‎ 1835082289


ISBN-13 ‏ : ‎ 87


Item Weight ‏ : ‎ 1.3 pounds


Dimensions ‏ : ‎ 9.25 x 7.52 x 0.7 inches


Best Sellers Rank: #497,673 in Books (See Top 100 in Books) #68 in Database Storage & Design #84 in Data Warehousing (Books) #190 in Data Modeling & Design (Books)


#68 in Database Storage & Design:


#84 in Data Warehousing (Books):


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Top Amazon Reviews


  • Good overview about Microsoft Fabric
Reviewed in the United States on March 7, 2024 by Joan M Asencio Joan M Asencio

  • Comprehensive Guide
"Learn Microsoft Fabric" by Arshad Ali and Bradley Schacht is a comprehensive guide designed to equip data professionals with the skills needed to navigate the Microsoft Fabric platform. This book is tailored for data engineers, analysts, and scientists looking to harness the power of Microsoft Fabric for data integration, transformation, and analytics in the era of AI. Technically, the book excels by covering a broad range of topics from the basics of enabling Microsoft Fabric to building complex end-to-end analytics systems. The authors have adeptly structured the content, beginning with fundamental concepts and gradually delving into more advanced topics such as real-time analytics, data science, and AI integration. Each chapter is well-detailed, offering step-by-step instructions, practical examples, and real-world scenarios, making it easier for readers to grasp and implement the concepts. The vocabulary used is precise and accessible, balancing technical depth with clarity. The book's organization allows readers to easily find specific topics of interest, and the practical examples and exercises enhance understanding and application. In summary, "Learn Microsoft Fabric" is an invaluable resource for anyone looking to master data analytics using Microsoft Fabric. Its clear explanations, practical focus, and comprehensive coverage make it a must-read for data professionals. ... show more
Reviewed in the United States on July 31, 2024 by Sivanagaraju Gadiparthi

  • Already out of date, sample data not available
The sample data required to do the tutorials is no longer available in the locations and formats described in the book. And the user interface has already changed enough since printing of the book that it's a struggle to follow the tutorial instructions. If you just want to read it and not actually do all the exercises, it's an excellent overview of all the capabilities. But for hands-on it's already out of date. ... show more
Reviewed in the United States on October 29, 2024 by Amazon Customer

  • Not usable - sample data repo is missing
The book is structured around building a progressive end-to-end data solution. Unfortunately, the data repository the whole book is built on no longer exists (WorldWideImporters). So unless you want to download the DW solution from MSFT, restore it, and extract the data, you won't be able to do any of the examples in the book. I would suggest the authors put the data in their own GH repo so they control whether it exists or not. ... show more
Reviewed in the United States on May 24, 2024 by Coffee grinder

  • Comprehensive Guide to Mastering Microsoft Fabric for Data Analytics
"Learn Microsoft Fabric" is an exceptional resource for anyone looking to delve into the world of data analytics using Microsoft's latest platform. The book is meticulously structured, starting with an introduction to Microsoft Fabric and its core capabilities. It then progresses to building end-to-end analytics systems, covering various workloads such as lakehouse, data warehouse, real-time analytics, and data science. Each chapter is detailed, offering step-by-step instructions, technical requirements, and practical examples. The sections on enabling Microsoft Fabric, creating Fabric-enabled workspaces, and the comprehensive overview of data factory, pipelines, and data engineering are particularly helpful. The book also dives into advanced topics like monitoring, administration, security, governance, and CI/CD, ensuring readers have a well-rounded understanding. One of the standout features is the inclusion of AI assistance with Copilot integration, which highlights the future of data engineering and data science. The narrative style is clear and concise, making complex concepts accessible. Overall, this guide is a must-have for data professionals aiming to leverage Microsoft Fabric for their analytics needs. ... show more
Reviewed in the United States on July 22, 2024 by Andrei Khaidarov

  • great book for anyone interested in beginning their journey with Microsoft Fabric
"Learn Microsoft Fabric" is a great book for anyone interested in beginning their journey with Microsoft Fabric. It offers a comprehensive and accessible introduction to the platform, making it an ideal starting point for both beginners and seasoned professionals. The book stands out for its clarity and practical approach. The author's deep understanding of Microsoft Fabric is evident throughout the chapters, providing readers with valuable insights and actionable steps to effectively utilize the platform. The inclusion of real-world examples further enhances the learning experience, bridging the gap between theory and practice. What I appreciate most about "Learn Microsoft Fabric" is its focus on practical application. Authors don't just explain concepts; they provide step-by-step guidance on how to implement them in real projects. This hands-on approach ensures that readers can immediately apply what they've learned, making the book a true asset for anyone looking to leverage Microsoft Fabric in their work. Overall, "Learn Microsoft Fabric" is an outstanding resource that I highly recommend to anyone looking to master this powerful platform. ... show more
Reviewed in the United States on July 10, 2024 by Tomasz Kostyrka

  • Great Fabric resource!
Covers the ins-and-outs of Microsoft Fabric, doing a great job of explaining the many features. Also love the end-to-end scenarios to help with understanding the use cases of the features.
Reviewed in the United States on July 19, 2024 by James Serra

  • One of the best resources to get the best out of Fabric
This is a really good resource for MS Fabric. Very detailed and well explained with relevant examples to build upon and develop a greater understanding. Some helpful code is available as well as GitHub link for trying out the code. Looking forward to future updates as Fabric evolves. Kudos.
Reviewed in the United States on July 1, 2024 by Robert O.

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