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Learn Microsoft Fabric
Learn Microsoft Fabric

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

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Learn Microsoft Fabric

Part 1: An Introduction to Microsoft Fabric

This part of the book introduces the overall analytics landscape of Microsoft Fabric, explaining its different concepts and how Fabric has leaped ahead of other products/platforms available on the market with its unique differentiators. Further, it talks about the different types of real use cases that can be implemented quickly and easily and gets you started on your journey.

This part contains the following chapters:

  • Chapter 1, Overview of Microsoft Fabric and Understanding Its Different Concepts
  • Chapter 2, Understanding Different Workloads and Getting Started with Microsoft Fabric
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Key benefits

  • Explore Microsoft Fabric and its features through real-world examples
  • Build data analytics solutions for lakehouses, data warehouses, real-time analytics, and data science
  • Monitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and control
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Discover 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.

Who is this book for?

This 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.

What you will learn

  • Get acquainted with the different services available in Microsoft Fabric
  • Build end-to-end data analytics solution to scale and manage high performance
  • Integrate data from different types of data sources
  • Apply transformation with Spark, Notebook, and T-SQL
  • Understand and implement real-time stream processing and data science capabilities
  • Perform end-to-end processes for building data analytics solutions in the AI era
  • Drive insights by leveraging Power BI for reporting and visualization
  • Improve productivity with AI assistance and Copilot integration
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 29, 2024
Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781835082287
Vendor :
Microsoft
Category :

What do you get with Print?

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Product feature icon Colour book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
Estimated delivery fee Deliver to South Korea

Standard delivery 10 - 13 business days

$12.95

Premium delivery 5 - 8 business days

$45.95
(Includes tracking information)

Product Details

Publication date : Feb 29, 2024
Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781835082287
Vendor :
Microsoft
Category :

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Table of Contents

18 Chapters
Part 1: An Introduction to Microsoft Fabric Chevron down icon Chevron up icon
Chapter 1: Overview of Microsoft Fabric and Understanding Its Different Concepts Chevron down icon Chevron up icon
Chapter 2: Understanding Different Workloads and Getting Started with Microsoft Fabric Chevron down icon Chevron up icon
Part 2: Building End-to-End Analytics Systems Chevron down icon Chevron up icon
Chapter 3: Building an End-to-End Analytics System – Lakehouse Chevron down icon Chevron up icon
Chapter 4: Building an End-to-End Analytics System – Data Warehouse Chevron down icon Chevron up icon
Chapter 5: Building an End-to-End Analytics System – Real-Time Analytics Chevron down icon Chevron up icon
Chapter 6: Building an End-to-End Analytics System – Data Science Chevron down icon Chevron up icon
Part 3: Administration and Monitoring Chevron down icon Chevron up icon
Chapter 7: Monitoring Overview and Monitoring Different Workloads Chevron down icon Chevron up icon
Chapter 8: Administering Fabric Chevron down icon Chevron up icon
Part 4: Security and Developer Experience Chevron down icon Chevron up icon
Chapter 9: Security and Governance Overview Chevron down icon Chevron up icon
Chapter 10: Continuous Integration and Continuous Deployment (CI/CD) Chevron down icon Chevron up icon
Part 5: AI Assistance with Copilot Integration Chevron down icon Chevron up icon
Chapter 11: Overview of AI Assistance and Copilot Integration Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(18 Ratings)
5 star 83.3%
4 star 5.6%
3 star 5.6%
2 star 0%
1 star 5.6%
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Vinicius Jul 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Amazing book! It is a must-read for those who are learning Fabric or wants to remember some topics.
Subscriber review Packt
ricardo jose dos santos cruz Aug 20, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Bharat C. Ruparel Mar 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you want to get up to speed fast with Microsoft Fabric, look no further. This is a book that is well researched and written by two people who are ideally positioned to articulate it. And they have done a great job.
Amazon Verified review Amazon
Anjani Kumar Apr 10, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data engineering work has long grappled with the challenge of minimizing data replication. While the introduction of delta lake and underlying delta tables has improved matters, not everyone fully grasps their potential. However, Microsoft Fabric simplifies adoption of the concept of a unified data lake. While reading few chapters of This book, I strongly felt that this not only offers a step-by-step guide to using Microsoft Fabric but also dispels many misconceptions surrounding the topic.
Amazon Verified review Amazon
Ray Sep 07, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is ideal for data professionals—analysts, engineers, and AI/ML experts—looking to build future-ready analytics solutions. It offers a solid foundation for PySpark and SQL students entering the field, with practical insights for developing end-to-end systems. A great resource for staying ahead in the AI-driven data landscape.
Amazon Verified review Amazon
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