Overview
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
The book, Building Data Products: Increase Trust and Unleash Data-Driven Innovation [Bulk, Wholesale, Quantity] ISBN#9798341629400 in Paperback by Jean-Georges Perrin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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