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

By Jean-Georges Perrin

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

• Format: Paperback
• Language: English
• ISBN: B0H74HPBWR
• ISBN13: 9798341629400
• Release Date: February 2027
• Publisher: O'Reilly Media
• Length: 250 Pages
• Dimensions: 9.2" x 2.0" x 7.0"