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Managing Data as a Product

You're reading from   Managing Data as a Product Design and build data-product-centered socio-technical architectures

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835468531
Length 368 pages
Edition 1st Edition
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Author (1):
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Andrea Gioia Andrea Gioia
Author Profile Icon Andrea Gioia
Andrea Gioia
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Data Products and the Power of Modular Architectures
2. Chapter 1: From Data as a Byproduct to Data as a Product FREE CHAPTER 3. Chapter 2: Data Products 4. Chapter 3: Data Product-Centered Architectures 5. Part 2: Managing the Data Product Lifecycle
6. Chapter 4: Identifying Data Products and Prioritizing Developments 7. Chapter 5: Designing and Implementing Data Products 8. Chapter 6: Operating Data Products in Production 9. Chapter 7: Automating Data Product Lifecycle Management 10. Part 3: Designing a Successful Data Product Strategy
11. Chapter 8: Moving through the Adoption Journey 12. Chapter 9: Team Topologies and Data Ownership at Scale 13. Chapter 10: Distributed Data Modeling 14. Chapter 11: Building an AI-Ready Information Architecture 15. Chapter 12: Bringing It All Together 16. Index 17. Other Books You May Enjoy

Exploring distributed conceptual modeling

In traditional approaches, the conceptual model is often loosely defined during the analysis phase to guide the construction of the physical model. However, in a data-product-centric architecture, the conceptual model plays a critical role well beyond the initial release of data products. It serves as a key enabler for seamless data consumption and ensures interoperability across products. In this section, we’ll explore how to intentionally design a conceptual model and manage its ongoing evolution in a distributed decentralized architecture.

Ubiquitous language

The primary purpose of conceptual modeling is to surface the core concepts that shape the problem and map out the relationships between them. Everyone involved in solving the problem should participate in the modeling activity, which typically aligns with the early stages of analysis to identify the necessary data products to support a given business case. It’s especially...

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