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Unifying Business, Data, and Code: Designing Data Products With Json Schema Paperback - 2024

by Itelman, Ron/ Viotti, Juan

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  • Paperback

Description

Oreilly & Associates Inc, 2024. Paperback. New. 300 pages. 9.19x7.00x0.87 inches.
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Details

  • Title Unifying Business, Data, and Code: Designing Data Products With Json Schema
  • Author Itelman, Ron/ Viotti, Juan
  • Binding Paperback
  • Condition New
  • Pages 354
  • Volumes 1
  • Language ENG
  • Publisher Oreilly & Associates Inc
  • Date 2024
  • Features Index
  • Bookseller's Inventory # x-1098145003
  • ISBN 9781098145002 / 1098145003
  • Weight 1.25 lbs (0.57 kg)
  • Dimensions 9.19 x 7 x 0.74 in (23.34 x 17.78 x 1.88 cm)
  • Library of Congress subjects Business enterprises - Computer networks -, Business enterprises - Technological
  • Dewey Decimal Code 658.406

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From the publisher

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