Modern Data Architecture on Azure: Design Data-Centric Solutions on Microsoft Azure

This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption.

Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you'll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling.

After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more.

What Will You Learn

• Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management
• Analyze and understand business needs to choose the right Azure services and make informed business decisions
• Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines
• Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management

Who Is This Book For:

Data solution architects, data engineers, and IT consultants who want to gain a better understanding of modern data architecture design and implementation on Azure.

這本書是一本關於在Azure上設計和實施數據解決方案的全面指南。它涵蓋了從數據收集到轉換、分發和使用的整個數據管理過程。

《現代Azure數據架構》首先介紹了數據管理的基本原則，然後演示了如何在Azure上構建關聯和非關聯數據解決方案。在這裡，您將學習複雜分析的數據處理以及如何處理CSV和JSON文件。接下來，您將學習大數據架構的基本概念，以及Azure提供的數據管理模式和技術選項。然後，您將進一步了解數據架構過程，包括在Azure上的數據聯盟、企業數據治理等。本書最後深入探討了數據架構框架和數據建模。

閱讀本書後，您將全面了解使用Azure進行數據設計和分析，從而能夠收集和分析大量數據，以優化業務績效、預測未來結果等。

您將學到什麼：
- 瞭解數據架構的基本原則，包括數據管理、數據處理倫理、數據治理和元數據管理
- 分析和理解業務需求，選擇合適的Azure服務並做出明智的業務決策
- 瞭解Azure雲數據設計模式，包括關聯和非關聯數據、批量實時處理和ETL/ELT流程
- 使用Azure現代化數據架構，利用數據和人工智能實現數字化轉型，並保護和優化整個數據生命周期管理

這本書適合數據解決方案架構師、數據工程師和IT顧問，他們希望更好地了解在Azure上的現代數據架構設計和實施。

Sagar Lad is an Azure Data Solution Architect working with a leading multinational software company who has deep expertise in implementing data management and analytics solutions for large enterprises using cloud and artificial intelligence. He is an experienced Azure cloud evangelist with a strong focus on driving cloud adoption for enterprise organizations using Microsoft Cloud Solutions with more than ten years of IT experience. He loves blogging and is an active blogger on Medium, LinkedIn, and the C# Corner developer community. He was awarded the C# Corner MVP in September 2021 for his contributions to the developer community.

Sagar Lad 是一位 Azure 數據解決方案架構師，就職於一家領先的跨國軟體公司，擁有在使用雲端和人工智慧實施大型企業數據管理和分析解決方案方面的深厚專業知識。他是一位經驗豐富的 Azure 雲端倡導者，專注於推動企業組織使用微軟雲端解決方案進行雲端採用，擁有超過十年的 IT 經驗。他熱愛撰寫部落格，是 Medium、LinkedIn 和 C# Corner 開發者社群的活躍部落客。他因為對開發者社群的貢獻，在 2021 年 9 月獲得了 C# Corner MVP 的殊榮。