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

Itelman, Ron; Viotti, Juan Cruz

Softcover

ISBN 10: 1098145003 ISBN 13: 9781098145002

Publisher: O'Reilly Media, 2024

Synopsis

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

About this title

About the Authors

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.

Edition details

• Publisher: O'Reilly Media
• Publication date: 2024
• Language: English
• ISBN 10: 1098145003
• ISBN 13: 9781098145002
• Binding: Paperback
• Edition number: 1
• Number of pages: 354