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

Unifying Business, Data, and Code: Designing Data Products With JSON Schema
by 作者: Ron Itelman (Author), Juan Cruz Viotti (Author)
Publisher Finelybook 出版社: O'Reilly Media
Edition 版本: 1st
Publication Date 出版日期: 2024-03-05
Language 语言: English
pages 页数: : 328 pages
ISBN-10 书号: 1098145003
ISBN-13 书号: 9781098145002


Book Description

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


Review

"Information about JSON Schema is readily available on the internet, but it's often inaccurate, outdated, or plain wrong. In this book, you'll find a solid introduction to many essential concepts of JSON Schema, which are accurate, up to date, and correct. The book also explores and demonstrates some more advanced use cases, and there simply isn't any other resource that provides the same explanation that can take you from zero to hero. It will equip you with the confidence you need to start building a holistic data landscape in collaboration with your peers. If you like your data well defined and validated, this book is for you."
--Ben Hutton,
JSON Schema Specification Lead, Postman

"It's not often one can find concise, high-quality information both on technology as well as how to apply that technology to have real impact on what matters (outcomes of course!). Juan Cruz Viotti and Ron Itelman have managed to communicate the simplicity and power of JSON and JSON Schema as technologies while helping indicate how businesses can use them within a complete data strategy. There's something here for everyone."
--Julian Berman,
Maintainer of the official JSON Schema test suite, Bowtie, and Python JSON Schema 

"This book strikes a wonderful balance between being an introduction to JSON Schema and providing coverage of complex and advanced topics such as vocabularies, and it does so without feeling like just another reference manual, instead pointing the reader to online resources and tools that are continually updated.  In addition to being a good how-to guide, it includes real-world examples of use cases that can be employed immediately, regardless of your experience."
--Greg Dennis,
Co-author of JSON Schema specifications


About the Author

Ron Itelman is co-founder of Intelligence.AI, which aims to help organizations align their business and data strategies for a scientific approach to innovation. Ron previously worked on Personalized Learning & Analytics and Computational Psychometrics in education, and Collaborative Intelligence in Life Sciences and BioPharma.

Juan Cruz Viotti is a computer scientist with ample experience in IoT, and systems programming. He graduated from the University of Oxford, and his research led to the proposal of an award-winning novel data serialization technology: JSON BinPack. He currently researches data interchange technologies at his own research lab: Sourcemeta, leads the Desktop Engineering team at Postman, collaborates in the JSON Schema organization and previously served as the Engineering Lead at Balena.

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