数据网格(影印版)
Zhamak Dehghani
出版时间:2023年03月
页数:345
“对作为产品的数据进行了透彻且至关重要的介绍,包括实现该产品所需的文化、流程、技术和团队变化。”
——Manuel Pais
Team Topologies的合著者“Zhamak在本书中采用的详尽方法使得这一新概念变得清晰且实用。”
——Gwen Shapira
Nile Platform联合创始人兼CPO;Kafka: The Definitive Guide作者

我们正处于数据的拐点,现今的数据管理解决方案已经不符合组织的复杂性、数据源的激增以及我们......展开全部内容介绍
  1. Foreword
  2. Preface
  3. Prologue: Imagine Data Mesh
  4. Part I. What Is Data Mesh?
  5. 1. Data Mesh in a Nutshell
  6. The Outcomes
  7. The Shifts
  8. The Principles
  9. Interplay of the Principles
  10. Data Mesh Model at a Glance
  11. The Data
  12. The Origin
  13. 2. Principle of Domain Ownership
  14. A Brief Background on Domain-Driven Design
  15. Applying DDD’s Strategic Design to Data
  16. Domain Data Archetypes
  17. Transition to Domain Ownership
  18. Recap
  19. 3. Principle of Data as a Product
  20. Applying Product Thinking to Data
  21. Transition to Data as a Product
  22. Recap
  23. 4. Principle of the Self-Serve Data Platform
  24. Data Mesh Platform: Compare and Contrast
  25. Data Mesh Platform Thinking
  26. Transition to a Self-Serve Data Mesh Platform
  27. Recap
  28. 5. Principle of Federated Computational Governance
  29. Apply Systems Thinking to Data Mesh Governance
  30. Apply Federation to the Governance Model
  31. Apply Computation to the Governance Model
  32. Transition to Federated Computational Governance
  33. Recap
  34. Part II. Why Data Mesh?
  35. 6. The Inflection Point
  36. Great Expectations of Data
  37. The Great Divide of Data
  38. Scale: Encounter of a New Kind
  39. Beyond Order
  40. Approaching the Plateau of Return
  41. Recap
  42. 7. After the Inflection Point
  43. Respond Gracefully to Change in a Complex Business
  44. Sustain Agility in the Face of Growth
  45. Increase the Ratio of Value from Data to Investment
  46. Recap
  47. 8. Before the Inflection Point
  48. Evolution of Analytical Data Architectures
  49. Characteristics of Analytical Data Architecture
  50. Recap
  51. Part III. How to Design the Data Mesh Architecture
  52. 9. The Logical Architecture
  53. Domain-Oriented Analytical Data Sharing Interfaces
  54. Data Product as an Architecture Quantum
  55. The Multiplane Data Platform
  56. Recap
  57. 13. Design Discovering, Understanding, and Composing Data
  58. Discover, Understand, Trust, and Explore
  59. Compose Data
  60. Recap
  61. 14. Design Managing, Governing, and Observing Data
  62. Manage the Life Cycle
  63. Govern Data
  64. Observe, Debug, and Audit
  65. Recap
  66. Part V. How to Get Started
  67. 15. Strategy and Execution
  68. Should You Adopt Data Mesh Today?
  69. Data Mesh as an Element of Data Strategy
  70. Data Mesh Execution Framework
  71. Recap
  72. 16. Organization and Culture
  73. Change
  74. Culture
  75. Reward
  76. Structure
  77. People
  78. Process
  79. Recap
  80. Index
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定价:119.00元
书号:978-7-5766-0593-8
出版社:东南大学出版社