Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products.
In this book, you’ll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book also guides you through the design and implementation of an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. Additionally, it explores data modeling in distributed environments, emphasizing its importance in fully leveraging modern generative AI solutions.
Upon completing the book, you’ll have gained a comprehensive understanding of product-centric data architecture and the necessary steps to begin adopting this modern approach to data management.

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Spis treści

Managing Data as a Product. Design and build data-product-centered socio-technical architectures eBook -- spis treści

• 1. From Data as a Byproduct to Data as a Product
• 2. Data Products
• 3. Data Product-Centered Architectures
• 4. Identifying Data Products and Prioritizing Developments
• 5. Designing and Implementing Data Products
• 6. Operating Data Products in Production
• 7. Automating Data Product Lifecycle Management
• 8. Moving through the Adoption Journey
• 9. Team Topologies and Data Ownership at Scale
• 10. Distributed Data Modeling
• 11. Building an AI-Ready Information Architecture
• 12. Bringing It All Together