Description Data Product Thinking is transforming modern enterprise strategy by turning raw datasets into reliable, self-service assets that drive real business value. It bridges technical data management and strategic business execution, giving you a clear blueprint for building, governing, and scaling high-impact data products. This book provides a complete roadmap across four core phases. You will start by mastering data governance, business impact, and product characteristics across transactional, analytical, document, and third-party environments. Next, it covers key quality propertiesexistence, accuracy, completeness, timeliness, trustworthiness, and usabilitywhile managing the lifecycle from creation to decommissioning. You will examine consumption formats for structured data, semi-structured documents, media, and AI models, alongside privilege management, backward compatibility, data culture, data economics, and agile adoption across governance, domains, and individual products. Finally, you will unlock data products for AI models, generative AI, quantum computing, low-code platforms, and autonomous networks. By the end of this book, you will have the skills to design, govern, and deploy scalable data products, empowering you to lead enterprise data transformation. What you will learn Implement enterprise data governance frameworks. Treat raw enterprise datasets as actionable assets. Map decentralized data products across transactional, analytical, and third-party systems. Enforce quality dimensions including existence, accuracy, timeliness, and data trustworthiness. Drive enterprise transformation using agile frameworks across domains and products. Who this book is for This book is for technology executives, enterprise and data architects, data engineers, product owners, and data governance leaders in large, complex organizations. Some familiarity with enterprise data governance and concepts such as data mesh or data fabric is helpful for students but not required. Table of Contents 1. Introduction to Data Products and Data Governance 2. Impact of Data Products 3. Characteristics of Data Products 4. Types of Data Products 5. Ecosystem of Data Products 6. Data Products Lifecycle 7. Consumption of Data Products 8. Managing Data Products 9. Transforming Enterprises to Embrace Data Products 10. Adoption of Data Products in Enterprise 11. Data Products for AI 12. Future of Data Products
