Unifying Business, Data, and Code
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A01=Juan Viotti
A01=Ron Itelman
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Author_Juan Viotti
Author_Ron Itelman
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Data scientists data data management semantics data experience data products analytics data analytics key business concepts business glossary data dictionary taxonomy ontology schema business intelligence BI business analysts library information science d
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Product details
- ISBN 9781098145002
- Dimensions: 178 x 233mm
- Publication Date: 06 Feb 2024
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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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
Ron Itelman is a Principal Consultant for the Digital, Data & Analytics team at Clarkston Consulting, mainly focusing on the Life Sciences & BioPharma industry. Ron's background includes working at Pearson on Personalized Learning & Analytics and Computational Psychometrics, at Slalom - Collaborative Learning Networks for government, foundations, and nonprofits, as well as Collective Intelligence for real-time distributed knowledge recommendations. 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.
