Engineering Data Mesh in Azure Cloud: Implement data mesh using Microsoft Azure's Cloud Adoption Framework
Deswandikar, Aniruddha
- 出版商: Packt Publishing
- 出版日期: 2024-03-29
- 售價: $1,980
- 貴賓價: 9.5 折 $1,881
- 語言: 英文
- 頁數: 314
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1805120786
- ISBN-13: 9781805120780
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相關分類:
Microsoft Azure
海外代購書籍(需單獨結帳)
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相關主題
商品描述
Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloads
Key Features
- Delve into core data mesh concepts and apply them to real-world situations
- Safely reassess and redesign your framework for seamless data mesh integration
- Conquer practical challenges, from domain organization to building data contracts
Book Description
Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.
The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you'll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.
The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).
By the end of this book, you'll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.
What you will learn
- Build a strategy to implement a data mesh in Azure Cloud
- Plan your data mesh journey to build a collaborative analytics platform
- Address challenges in designing, building, and managing data contracts
- Get to grips with monitoring and governing a data mesh
- Understand how to build a self-service portal for analytics
- Design and implement a secure data mesh architecture
- Resolve practical challenges related to data mesh adoption
Who this book is for
This book is for chief data officers and data architects of large and medium-size organizations who are struggling to maintain silos of data and analytics projects. Data architects and data engineers looking to understand data mesh and how it can help their organizations democratize data and analytics will also benefit from this book. Prior knowledge of managing centralized analytical systems, as well as experience with building data lakes, data warehouses, data pipelines, data integrations, and transformations is needed to get the most out of this book.
商品描述(中文翻譯)
克服數據網格採用挑戰,使用雲規模的分析框架,通過使用標準架構模式來使數據分析環境靈活高效。
主要特點:
- 深入了解核心數據網格概念,並將其應用於實際情況
- 安全地重新評估和重新設計框架,實現無縫數據網格集成
- 克服實際挑戰,從領域組織到構建數據合同
書籍描述:
分散數據並集中治理是數據分析的實用、可擴展和現代方法。然而,實施數據網格可能會感覺像在行駛中的汽車上更換引擎。大多數組織在開始時遇到困難,並陷入數據領域的概念中,花費數月時間嘗試組織領域。這就是 Azure 雲中的 Engineering Data Mesh 可以幫助的地方。
本書首先評估您現有的框架,然後幫助您設計一個實用的設計。隨著進展,您將專注於 Microsoft Azure 的雲採用框架和雲規模的分析框架,這將幫助您快速在雲中為數據網格設置一個登陸區。
本書還解決了真實客戶在數據網格採用和實施方面遇到的常見挑戰。它涉及數據合同的概念,並幫助您構建適合您組織的實用數據合同。本書的最後一部分涵蓋了用於現代分析框架(如人工智能)的一些常見架構模式。
通過閱讀本書,您將能夠使用 Microsoft Azure 將現有的分析框架轉變為流暢的數據網格,從而應對挑戰並實施現代分析工作負載的高級架構模式。
學到什麼:
- 在 Azure 雲中制定實施數據網格的策略
- 計劃數據網格之旅,構建協作式分析平台
- 解決設計、構建和管理數據合同方面的挑戰
- 掌握監控和治理數據網格的方法
- 了解如何為分析構建自助服務門戶
- 設計和實施安全的數據網格架構
- 解決與數據網格採用相關的實際挑戰
適合人群:
本書適合大型和中型組織的首席數據官和數據架構師,他們正在努力維護數據和分析項目的孤立。希望了解數據網格及其如何幫助組織實現數據和分析民主化的數據架構師和數據工程師也會從本書中受益。需要具備管理集中式分析系統的知識,以及構建數據湖、數據倉庫、數據管道、數據集成和轉換的經驗,才能充分利用本書。
目錄大綱
- Introducing Data Meshes
- Building a Data Mesh Strategy
- Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
- Building a Data Mesh Governance Framework Using Microsoft Azure Services
- Security Architecture for Data Meshes
- Automating Deployment through Azure Resource Manager and Azure DevOps
- Building a Self-Service Portal for Common Data Mesh Operations
- How to Design, Build, and Manage Data Contracts
- Data Quality Management
- Master Data Management
- Monitoring and Data Observability
- Monitoring Data Mesh Costs and Building a Cross-Charging Model
(N.B. Please use the Look Inside option to see further chapters)
目錄大綱(中文翻譯)
- 介紹資料網格
- 建立資料網格策略
- 使用 Azure 雲端規模分析框架部署資料網格
- 使用 Microsoft Azure 服務建立資料網格治理框架
- 資料網格的安全架構
- 透過 Azure 資源管理器和 Azure DevOps 自動化部署
- 建立自助服務入口網站以進行常見資料網格操作
- 如何設計、建立和管理資料契約
- 資料品質管理
- 主資料管理
- 監控和資料可觀察性
- 監控資料網格成本並建立跨部門計費模型
(註:請使用「查看內容」選項以查看更多章節)