Building Data Products
In this Early Release from O’Reilly, Jean-Georges “jgp” Perrin provides a practical guide to designing, governing, publishing, and scaling data products across modern data ecosystems.
As organizations strive to scale AI, analytics, and self-service data access, data products have emerged as a practical approach for delivering trusted, reusable, and governed data assets.
Drawing on industry experience, practitioner interviews, and emerging standards, this book explores how metadata, governance, data contracts, observability, marketplaces, and automation work together to create successful data product ecosystems.
Data products are the operating model for modern data and AI.
Traditional approaches to data management often struggle with fragmented ownership, inconsistent quality, and limited reuse.
Data products offer a different model. They combine data, metadata, governance, quality expectations, ownership, and discoverability into reusable assets that can be shared confidently across teams and domains. As organizations invest in AI, analytics, and self-service data access, trusted data products are essential for delivering reliable outcomes at scale.
This book explores how organizations can move beyond theory and implement practical, standards-driven approaches for building and operating data products.
This Early Release edition is brought to you by Actian
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À propos du livre
Data products have emerged as one of the most important concepts in modern data management, helping organizations improve trust, reuse, scalability, and collaboration across domains.
In Building Data Products, Jean-Georges Perrin provides a comprehensive, standards-driven framework for designing, implementing, governing, and scaling data products.
The book explores the full lifecycle of data products, including ownership, metadata, governance, observability, marketplaces, security, compliance, and automation. It also examines emerging standards such as Bitol ODPS and ODCS and their role in creating interoperable data product ecosystems.
Rather than focusing on a specific vendor or technology stack, the book presents practical principles, architectural patterns, and implementation guidance that organizations can apply regardless of their platform choices.
Drawing on practitioner interviews, real-world implementation experience, and emerging industry standards, the book bridges strategy, governance, and engineering practices to help organizations operationalize data products at scale.
“The challenge isn’t creating more data. It’s creating data products people can discover, trust, and reuse.”
— Jean-Georges Perrin, Author
Contenu
Early Release Chapters
Chapter 1: Beyond Data Contracts
Chapter 2: Adopting Standards for Data Products
Chapter 3: Imagining a Data Product
Chapter 4: Building Your First Data Product
Chapter 5: Architecturing Data Products
Additional chapters will be released progressively through O’Reilly Early Release.
Coming Next
Chapter 6: Integrating Data Products into Your Organization
Chapter 7: Leveraging Metadata
Chapter 8: Living the Lifecycle of Data Products
Chapter 9: Offering Your Data Products in a Marketplace
Chapter 10: Securing Data Products
Chapter 11: Future-Proofing Data Products with AI & Automation
Ce que vous apprendrez
✔️ Design data products for modular reuse, discoverability, and trust
✔️ Govern and operate data products throughout their lifecycle
✔️ Implement standards-driven architectures with rich metadata and security
✔️ Incorporate AI-driven automation, SBOMs, and data contracts
✔️ Scale product-driven data strategies across teams and platforms
✔️ Integrate data products into APIs, CI/CD pipelines, and DevOps practices
Who Should Read This Book?
- Responsables des données (CDO)
- Data Product Managers
- Data Architects
- Data Engineers
- Gouvernance des données
- Analytics & BI Leaders
- Enterprise Architects
- Platform Engineering Teams
À propos de l’auteure
Jean-Georges Perrin
Author | Technology Strategist, Office of the CTO, Actian
Jean-Georges Perrin (“JGP”) is part of Actian’s Office of the CTO, where he helps shape the company’s vision for Data Products, Data Contracts, and modern data architectures. With more than 25 years of experience in data architecture—including a tenure as Principal Architect at Expedia—he now chairs the Linux Foundation’s Bitol project, driving the Open Data Contract Standard (ODCS).
The author of Building Data Products, Implementing Data Mesh, and Spark in Action, JGP is a recognized thought leader, Lifetime IBM Champion, and Data Mesh MVP dedicated to helping organizations balance data governance with innovation.
