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Data Products Volume 2: Data Product Management Platform: Scaling Data Products: Data Product Management Platform
Paperback
Publisher: Technics Publications
Published: Aug 17 2026
Pages: 338
Weight: 1.00
Height: 0.70 Width: 6.00 Depth: 9.00
Language: English
Build a scalable foundation for decentralized data management without trading central bottlenecks for distributed chaos. This book shows data leaders, architects, platform teams, governance professionals, and domain owners how to design and operate the self-service infrastructure that makes autonomy, control, and trustworthy delivery work together.
Evaluate the structural problems that undermine modern data initiatives, including unclear ownership, governance after deployment, and fragmented domain practices. Replace disconnected tools and voluntary guidelines with a coherent operating model that gives teams freedom within well-defined boundaries.
Design an adaptable platform architecture around lifecycle management, a factory for standardized creation, computational policies, operations, observability, a marketplace, and an integration layer. Apply contract-first thinking, separate the control plane from execution environments, and use evolvable metamodels to support changing technologies without locking the organization into a rigid stack. These principles make governance executable while keeping domain teams responsible for their own implementation choices.
Analyze how the platform affects every participant, from product and platform teams to domain owners, governance functions, and consumers. Improve adoption through education, communication, progressive guardrails, low-friction self-service, and a zero-ticket ambition. Measure platform ROI through delivery speed, reduced effort, fewer defects, clearer accountability, lower governance costs, and visible risk reduction rather than relying on a one-time business case.
Created for CDOs, enterprise and solution architects, platform engineers, analytics executives, governance leaders, product managers, and technology strategists, this practical resource connects data mesh, platform engineering, federated governance, metadata, and AI readiness. Establish the shared lifecycle, semantic clarity, and computational controls your organization needs to decentralize responsibly and scale with confidence.
Decentralization without structure always looks like freedom at first and chaos soon after. Paolo Platter's great contribution is showing, in concrete and hard-won detail, that the self-service platform is what keeps that boomerang from coming back. This is not a book of frameworks or slogans; it is a hard-earned account, built on years in the room where these decisions actually get made, of how autonomy and governance reinforce each other when the platform is designed correctly. Anyone leading a data or platform organization should read it before the next reorganization, not after.
Bj rn Broum, Data Strategist and Enterprise Architect, writing on data strategy and organizational learning at My Field Notes
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