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數據網格(影印版)(英文版)

  • 作者:(美)扎馬克·德加尼|責編:張燁
  • 出版社:東南大學
  • ISBN:9787576605938
  • 出版日期:2023/03/01
  • 裝幀:平裝
  • 頁數:345
人民幣:RMB 119 元      售價:
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內容大鋼
    我們正處於數據的拐點,現今的數據管理解決方案已經不符合組織的複雜性、數據源的激增以及我們希望通過人工智慧和分析從數據中獲得價值的願景。在這本實踐用書中,作者Zhamak Dehghani介紹了數據網格,這是一種來自現代分散式架構的去中心化的社會技術範式,為大規模獲取、共享、訪問和管理分析數據提供了新方法。
    Dehghani指導從業者、架構師、技術領導者和決策者從傳統大數據架構轉向分散式多維分析數據管理方法。數據網格將數據視為產品,將領域視為主要關注點,應用平台思維創建自助式數據基礎架構,並引入數據治理的聯合計算模型。
    ·全面介紹了數據網格原理及其組成部分
    ·設計數據網格架構
    ·指導數據網格策略和執行
    ·將組織設計導向去中心化的數據所有權模型
    ·超越傳統的數據倉庫和數據湖,轉向分散式數據網格

作者介紹
(美)扎馬克·德加尼|責編:張燁
    扎馬克·德加尼(Zhamak Dehghani)是Thoughtworks的技術總監,專註于分散式架構和新興技術領域。她也是Data Mesh的創始人。

目錄
Foreword
Preface
Prologue: Imagine Data Mesh
Part I.  What Is Data Mesh?
  1. Data Mesh in a Nutshell
    The Outcomes
    The Shifts
    The Principles
      Principle of Domain Ownership
      Principle of Data as a Product
      Principle of the Self-Serve Data Platform
      Principle of Federated Computational Governance
    Interplay of the Principles
    Data Mesh Model at a Glance
    The Data
      Operational Data
      Analytical Data
    The Origin
  2. Principle of Domain Ownership
    A Brief Background on Domain-Driven Design
      Applying DDD's Strategic Design to Data
      Domain Data Archetypes
      Source-Aligned Domain Data
      Aggregate Domain Data
      Consumer-Aligned Domain Data
    Transition to Domain Ownership
      Push Data Ownership Upstream
      Define Multiple Connected Models
      Embrace the Most Relevant Domain Data: Don't Expect a Single Source of Truth
      Hide the Data Pipelines as Domains' Internal Implementation
    Recap
  3. Principle of Data as a Product
    Applying Product Thinking to Data
      Baseline Usability Attributes of a Data Product
    Transition to Data as a Product
      Include Data Product Ownership in Domains
      Reframe the Nomenclature to Create Change
      Think of Data as a Product, Not a Mere Asset
      Establish a Trust-But-Verify Data Culture
      Join Data and Compute as One Logical Unit
    Recap
  4. Principle of the Self-Serve Data Platform
    Data Mesh Platform: Compare and Contrast
      Serving Autonomous Domain-Oriented Teams
      Managing Autonomous and Interoperable Data Products
      A Continuous Platform of Operational and Analytical Capabilities
      Designed for a Generalist Majority
      Favoring Decentralized Technologies
      Domain Agnostic
    Data Mesh Platform Thinking

      Enable Autonomous Teams to Get Value from Data
      Exchange Value with Autonomous and Interoperable Data Products
      Accelerate Exchange of Value by Lowering the Cognitive Load
      Scale Out Data Sharing
      Support a Culture of Embedded Innovation
    Transition to a Self-Serve Data Mesh Platform
      Design the APIs and Protocols First
      Prepare for Generalist Adoption
      Do an Inventory and Simplify
      Create Higher-Level APIs to Manage Data Products
      Build Experiences, Not Mechanisms
  ……
Part II.  Why Data Mesh?
Part III.  How to Design the Data Mesh Architecture
Part IV.  How to Design the Data Product Architecture
Part V.  How to Get Started
Index

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