Data Products Volume 2: Data Product Management Platform

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$39.95

Data Products Volume 2: Data Product Management Platform: Scaling Data Products, by Paolo Platter

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.

Topics

Chapter 1: The Data Management Problems We Keep Ignoring

  • Tools are Not the Problem
  • The Data Product Trap
  • The Decentralization Illusion
  • Governance After the Fact Does Not Scale
  • An Internal Platform is a Product
  • Key Takeaway

 

Chapter 2: Data Product  Management Platform

  • A Data Product Management Platform is Not Optional
  • What is a Data Product Management Platform?
  • Who Needs a Data Product Management Platform?
  • Platform as a Product
  • Embedded Automated Governance
  • Guardrails, Not Golden Cages
  • Autonomy vs Governance: Deciding What to Control
  • Key Takeaway

 

Chapter 3: From Principles to  Platform Architecture

  • Architecture Principles
  • Logical Architecture
  • Physical Architecture
  • Platform Metamodel
  • Data Product Metamodel
  • Key Takeaways

 

Chapter 4: Platform Architectural Deep Dive

  • The Data Product Lifecycle Management
  • The Data Product Factory
  • Data Product Operations
  • Data Product Governance
  • Computational Policies
  • Policies by Lifecycle Timing
  • The Data Product Marketplace
  • The Integration Layer
  • Data Product Observability
  • Cross-Cutting Concerns
  • The Role of the Platform in the AI Era
  • Key Takeaways

 

Chapter 5: People, Journeys, and Reality

  • Data Product Team
  • Platform Team
  • Domain Owner
  • Data Governance Team
  • Data Consumer
  • Key Takeaways

 

Chapter 6: How To Operate the Platform

  • Building the Platform Team
  • Communication
  • Platform Change Management
  • Educate Before Enforcing
  • Guardrails
  • Zero Tickets Goal
  • Platform ROI
  • Key Takeaways

 

Chapter 7: Maturity, Evolution, and What Comes Next

  • Platformization as a Maturity Accelerator
  • Progressive Adoption and Progressive Governance
  • Ambiguity as the Real Enemy of AI
  • Platformization as the Enterprise Operating System
  • Key Takeaways

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.

Bjørn Broum, Data Strategist and Enterprise Architect, writing on data strategy and organizational learning at My Field Notes

 

Paolo Platter possesses a rare combination of profound technical expertise and genuine open-mindedness. In a landscape where data management is rapidly evolving, his innovative approach to decentralization is exactly what the industry needs. Paolo is a remarkable listener who is never afraid to explore uncharted paths and challenge the status quo. I have the utmost personal and professional respect for him; he is a true pioneer, capable of driving a paradigm shift and changing how we manage data on a global scale.

Pierpaolo Ruggiero, Data Platform Manager, Hera Group

 

I had the challenge to build a data platform from scratch, now used by an incredibly high number of developers in my company. Paolo Platter contributed to that success with his deep experience not only in data management, but also in how people and organizations work together. The decentralized approach is a delicate balance between technology and human factors, and Paolo has a unique ability to navigate both.

Marco Santoni, Head of Data and Analytics Platform

 

When it comes to making decentral data management work, Paolo is a genuine visionary and a dedicated builder. What strikes me most is his in-depth expertise in dealing with data product management challenges from a system design perspective, providing enterprises with elaborate answers.

Jan Stiebing,  CDO Deutsche Börse Group

 

I have been impressed by Paolo’s ability to combine strategic thinking with practical execution. Throughout our interactions, he has consistently demonstrated deep expertise in modern data management, platform thinking, and decentralization. What I particularly value is his ability to help transform ambitious visions into concrete and actionable approaches.

Wouter van Straten

Data Management Architect at KPN in The Netherlands

 

Over the years, I’ve had the opportunity to discuss data platforms, Data Mesh and platform engineering with Paolo, and I’ve always been impressed by his pragmatic approach. While many people focus on theory, Paolo concentrates on the difficult challenge of making decentralised data management work in practice. His combination of technical depth, product thinking and real-world experience gives him a valuable perspective for organisations building modern data platforms.

Paul Gale

Founder | Reimagining Enterprise Data Management | Data Products | Domain-Driven Design | Platform Engineering | AI at PAGA BV

 

Paolo Platter possesses a rare combination of profound technical expertise and genuine open-mindedness. In a landscape where data management is rapidly evolving, his innovative approach to decentralization is exactly what the industry needs. Paolo is a remarkable listener who is never afraid to explore uncharted paths and challenge the status quo. I have the utmost personal and professional respect for him; he is a true pioneer, capable of driving a paradigm shift and changing how we manage data on a global scale.

Pierpaolo Ruggiero, Data Platform Manager, Hera Group

 

I had the challenge to build a data platform from scratch, now used by an incredibly high number of developers in my company. Paolo Platter contributed to that success with his deep experience not only in data management, but also in how people and organizations work together. The decentralized approach is a delicate balance between technology and human factors, and Paolo has a unique ability to navigate both.

Marco Santoni, Head of Data and Analytics Platform

 

When it comes to making decentral data management work, Paolo is a genuine visionary and a dedicated builder. What strikes me most is his in-depth expertise in dealing with data product management challenges from a system design perspective, providing enterprises with elaborate answers.

Jan Stiebing,  CDO Deutsche Börse Group

 

I have been impressed by Paolo’s ability to combine strategic thinking with practical execution. Throughout our interactions, he has consistently demonstrated deep expertise in modern data management, platform thinking, and decentralization. What I particularly value is his ability to help transform ambitious visions into concrete and actionable approaches.

Wouter van Straten

Data Management Architect at KPN in The Netherlands

 

Over the years, I’ve had the opportunity to discuss data platforms, Data Mesh and platform engineering with Paolo, and I’ve always been impressed by his pragmatic approach. While many people focus on theory, Paolo concentrates on the difficult challenge of making decentralised data management work in practice. His combination of technical depth, product thinking and real-world experience gives him a valuable perspective for organisations building modern data platforms.

Paul Gale

Founder | Reimagining Enterprise Data Management | Data Products | Domain-Driven Design | Platform Engineering | AI at PAGA BV

About Paolo

Paolo Platter is an entrepreneur, architect, and strategic advisor with more than twenty years of experience in data architecture, distributed systems, and enterprise technology. He co-founded Agile Lab, where he has served as CTO and helped major European organizations navigate complex data and technology transformations, and later co-founded Witboost, a platform designed to help enterprises scale Data Products, Data Mesh, and decentralized data governance. Over his career, Paolo has worked with more than fifty large organizations across industries including banking, insurance, utilities, manufacturing, and telecommunications, giving him a firsthand view of the technical and organizational challenges of large-scale transformation. He holds a master’s degree in Telecommunications Engineering from Politecnico di Torino and lives in Turin, Italy, with his wife and two children.

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