Articoli correlati a Unifying Business, Data, and Code: Designing Data Products...

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

Itelman, Ron; Viotti, Juan Cruz

 
9781098145002: Unifying Business, Data, and Code: Designing Data Products with JSON Schema
Brossura
ISBN 10: 1098145003 ISBN 13: 9781098145002
Casa editrice: O'Reilly Media, 2024

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
1098145003
ISBN 13 
9781098145002
Rilegatura
Copertina flessibile
Numero di pagine
354
Contatto del produttore
non disponibile
Persona responsabile
non disponibile