Building Data Products: Increase Trust and Unleash Data-Driven Innovation

As organizations grapple with fragmented data, siloed teams, and inconsistent pipelines, data products have emerged as a practical solution for delivering trusted, scalable, and reusable data assets. In Building Data Products, Jean-Georges Perrin provides a comprehensive, standards-driven playbook for designing, implementing, and scaling data products that fuel innovation and cross-functional collaboration--whether or not your organization adopts a full data mesh strategy. Drawing on extensive industry experience and practitioner interviews, Perrin shows readers how to build metadata-rich, governed data products aligned to business domains. Covering foundational concepts, real-world use cases, and emerging standards like Bitol ODPS and ODCS, this guide offers step-by-step implementation advice and practical code examples for key stages--ownership, observability, active metadata, compliance, and integration. - Design data products for modular reuse, discoverability, and trust - 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