Unifying Business, Data, and Code: Designing Data Products with JSON Schema

Itelman, Ron, Viotti, Juan Cruz

  • 出版商: O'Reilly
  • 出版日期: 2024-03-05
  • 售價: $2,360
  • 貴賓價: 9.5$2,242
  • 語言: 英文
  • 頁數: 354
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098145003
  • ISBN-13: 9781098145002
  • 相關分類: JavaScript
  • 海外代購書籍(需單獨結帳)

商品描述

In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit.

Misalignment between business and technical teams halts innovation. You'll learn how to transcend the root causes of project failure-the ambiguity, knowledge gaps, and blind spots that lead to wasted efforts.

The unifying methodology in this book will teach you these alignment tools and more:

  • The four facets of data products: A simple blueprint that encapsulates data and business logic helps eliminate the most common causes of wasted time and misunderstanding
  • The concept compass: An easy way to identify the biggest sources of misalignment
  • Success spectrums: Define the required knowledge and road map your team needs to achieve success
  • JSON Schema: Leverage JSON and JSON Schema to technically implement the strategy at scale, including extending JSON Schema with custom keywords, understanding JSON Schema annotations, and hosting your own schema registry
  • Data hygiene: Learn how to design high-quality datasets aligned with creating real business value, and protect your organization from the most common sources of pain

商品描述(中文翻譯)

在現代商業交響樂中,從技術到管理的每個部門都必須和諧共奏。作者Ron Itelman和Juan Cruz Viotti介紹了一種大膽的方法論,將您的業務和技術團隊同步,將它們轉變為一個高效的整體。

業務和技術團隊之間的不協調會阻礙創新。您將學習如何超越專案失敗的根本原因-模糊性、知識差距和盲點,這些原因導致了浪費的努力。

本書中的統一方法將教您這些協調工具和更多內容:
- 數據產品的四個方面:一個簡單的藍圖,將數據和業務邏輯封裝起來,有助於消除浪費時間和誤解的最常見原因。
- 概念指南針:一種簡單的方法來識別不協調的最大來源。
- 成功光譜:定義團隊實現成功所需的知識和路線圖。
- JSON Schema:利用JSON和JSON Schema在技術上實施策略,包括使用自定義關鍵字擴展JSON Schema,理解JSON Schema註釋,以及託管自己的模式註冊表。
- 數據衛生:學習如何設計與創造真正商業價值相一致的高質量數據集,並保護您的組織免受最常見的痛點。