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$2,224Data Mesh: Delivering Data-Driven Value at Scale (Paperback)
商品描述
Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.
In Data Mesh in Action you will learn how to:
• Implement a data mesh in your organization
• Turn data into a data product
• Move from your current data architecture to a data mesh
• Identify data domains, and decompose an organization into smaller, manageable domains
• Set up the central governance and local governance levels over data
• Balance responsibilities between the two levels of governance
• Establish a platform that allows efficient connection of distributed data products and automated governance
Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You won’t need any new technology—this book shows you how to start implementing a data mesh with flexible processes and organizational change. You’ll explore both an extended case study and multiple real-world examples. As you go, you’ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition.
Foreword by Jean-Georges Perrin.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures.
About the book
Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data.
What's inside
• Decompose an organization into manageable domains
• Turn data into a data product
• Set up central and local governance levels
• Build a fit-for-purpose data platform
• Improve management, initiation, and support techniques
About the reader
For data professionals. Requires no specific programming stack or data platform.
商品描述(中文翻譯)
革命性地改變您組織處理數據的方式,使用數據網格!這種新的去中心化架構超越了單體數據湖和數據倉庫,適用於任何規模的公司。
在《數據網格實踐》中,您將學習如何:
• 在您的組織中實施數據網格
• 將數據轉化為數據產品
• 從當前的數據架構轉向數據網格
• 確定數據領域,並將組織分解為更小、更易管理的領域
• 設置數據的中央治理和地方治理層級
• 在兩個治理層級之間平衡責任
• 建立一個平台,允許高效連接分散的數據產品和自動化治理
《數據網格實踐》揭示了這種突破性架構在小型初創企業和大型企業中的應用。您不需要任何新技術——本書將向您展示如何通過靈活的流程和組織變革開始實施數據網格。您將探索一個擴展的案例研究和多個現實世界的例子。在此過程中,您將專業地引導討論社會技術架構(Socio-Technical Architecture)和以領域為驅動的設計(Domain-Driven Design),目標是建立一個精簡的數據即產品系統。此外,數十種適用於面對面和遠程會議的工作坊技術幫助您引導同事並推動成功的轉型。
前言由 Jean-Georges Perrin 撰寫。
購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。
關於技術
企業越來越依賴高效存儲和訪問大量數據。數據網格是一種去中心化數據管理的新方法,徹底改善了安全性和可發現性。設計良好的數據網格簡化了自助數據消費,並減少了單體數據架構所造成的瓶頸。
關於本書
《數據網格實踐》教您實用的方法來去中心化您的數據並將其組織成有效的數據網格。您將從構建一個最小可行的數據產品開始,然後逐章擴展為自助數據平台。您會喜歡本書獨特的“滑桿”功能,根據您的具體需求調整網格。您還將學習改變您和同事對數據思考方式的流程和領導技術。
內容概覽
• 將組織分解為可管理的領域
• 將數據轉化為數據產品
• 設置中央和地方治理層級
• 建立適合目的的數據平台
• 改進管理、啟動和支持技術
讀者對象
針對數據專業人士。不需要特定的編程堆棧或數據平台。
作者簡介
Jacek Majchrzak is a hands-on lead architect in the area of drug discovery where he implements the data mesh idea. Jacek is a workshop facilitator with a strong focus on domain-driven design, software architecture and socio-technical systems design.
Dr. Sven Balnojan manages data products and teams by day. At night, he has a passion for diving deep into technology and data-related topics in his opinionated in-depth newsletter, as well as his blog and various essays.
Dr. Marian Siwiak is a data scientist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.
作者簡介(中文翻譯)
雅采克·馬伊赫茲卡克 (Jacek Majchrzak) 是一位實務導向的首席架構師,專注於藥物發現領域,並實施數據網格 (data mesh) 概念。雅采克是一位工作坊主持人,強調以領域驅動設計 (domain-driven design)、軟體架構和社會技術系統設計為重點。
斯文·巴爾諾揚博士 (Dr. Sven Balnojan) 白天負責管理數據產品和團隊,晚上則熱衷於深入探討技術和數據相關主題,並在他的深度評論電子報、部落格及各種文章中分享見解。
瑪麗安·西維亞克博士 (Dr. Marian Siwiak) 是一位數據科學家,擁有利用數據知識和管理經驗成功交付數百萬美元的 IT、科學和技術專案的經歷,涵蓋從生命科學到機器人技術的各個領域。
目錄大綱
PART 1 FOUNDATIONS
1 The what and why of the data mesh
2 Is a data mesh right for you?
3 Kickstart your data mesh MVP in a month
PART 2 THE FOUR PRINCIPLES IN PRACTICE
4 Domain ownership
5 Data as a product
6 Federated computational governance
7 The self-serve data platform
PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE
8 Comparing self-serve data platforms
9 Solution architecture design
目錄大綱(中文翻譯)
PART 1 FOUNDATIONS
1 The what and why of the data mesh
2 Is a data mesh right for you?
3 Kickstart your data mesh MVP in a month
PART 2 THE FOUR PRINCIPLES IN PRACTICE
4 Domain ownership
5 Data as a product
6 Federated computational governance
7 The self-serve data platform
PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE
8 Comparing self-serve data platforms
9 Solution architecture design