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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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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

Designing data products and their interactions

To ensure a successful data product implementation, we must first grasp its interaction with both the broader global ecosystem and its specific local environment. We’ll also need to identify the core components that define its internal structure. In this section, we’ll begin by delving into the local context, then take a step back to examine the global ecosystem, before finally zooming in on the product itself and its internal components.

Understanding the data product local environment

A data product supports one or more business cases by making a business data asset accessible and easy to use. Each data asset is generated as a consequence of activities carried out by an instance of business capability within a value stream. Data assets are, therefore, associated with the instances of business capability that generate them, which, in turn, are used to define the bounded context. Each data product is defined and implemented...

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