Unifying Business, Data, and Code: Designing Data Products with JSON Schema
About this ebook
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
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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.
