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

Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructions

Key Features:

• 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

Book 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.

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

Who this book is 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.

發揮 Microsoft Fabric 的威力，根據逐步指示開發各種用例的數據分析解決方案

主要特點：
- 通過實際案例探索 Microsoft Fabric 及其功能
- 為湖屋、數據倉庫、實時分析和數據科學構建數據分析解決方案
- 監控、管理和管理您的 Fabric 平台和分析系統，以確保靈活性、性能、安全性和控制
- 購買印刷版或 Kindle 版本的書籍將包含免費的 PDF 電子書

書籍描述：
探索 Microsoft Fabric 的功能，這是一個為 AI 時代設計的頂級統一解決方案，無縫結合數據集成、OneLake、轉換、可視化、通用安全性和統一業務模型。本書概述了 Microsoft Fabric、其組件和更廣泛的分析景觀。

在本書中，您將探索 Data Factory、Synapse Data Engineering、數據科學、數據倉庫、實時分析和 Power BI 等工作負載。您將學習如何使用勳章架構構建端到端的湖屋和數據倉庫解決方案，解鎖實時分析，並實施機器學習和 AI 模型。隨著進展，您將在跨租戶、容量和工作空間中建立對監控工作負載和管理 Fabric 的專業知識。本書還逐步指導您如何增強 Microsoft Fabric 中的安全性和治理實踐，並使用 Azure DevOps 或 GitHub 實施 CI/CD 工作流程。最後，您將發現 Copilot 的威力，這是一個加速您分析之旅的 AI 助手。

通過閱讀本書，您將發揮 AI 驅動的數據分析的全部潛力，全面了解分析景觀，並掌握 Microsoft Fabric 的基本概念和原則。

學到什麼：
- 熟悉 Microsoft Fabric 中可用的不同服務
- 構建端到端的數據分析解決方案，以實現高性能的擴展和管理
- 整合來自不同類型數據源的數據
- 使用 Spark、Notebook 和 T-SQL 進行轉換
- 瞭解並實施實時流處理和數據科學能力
- 在 AI 時代進行端到端的數據分析解決方案構建流程
- 利用 Power BI 進行報告和可視化，推動洞察力
- 通過 AI 助手和 Copilot 整合提高生產力

適合對象：
本書適合數據專業人士，包括數據分析師、數據工程師、數據科學家、數據倉庫開發人員、ETL 開發人員、業務分析師、AI/ML 專業人員、軟件開發人員和首席數據官，他們希望為 AI 時代的長期成功構建一個未來準備的數據分析解決方案。

對於進入數據分析領域的 PySpark 和 SQL 學生，本書提供了發展技能的廣泛基礎，以構建各種用例的端到端分析系統。假設具備 SQL 和 Spark 的基本知識。