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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

Classifying pure data products

Pure data products can be classified in various ways depending on their characteristics and role within the architecture. In this section, we will explore some of the most popular classifications.

Source-aligned versus consumer-aligned

One of the most popular classifications divides pure data products based on their role within the architecture into the following three categories: source aligned, aggregation, and consumer aligned.

Source-aligned pure data products read data from external systems and transform them at the representation level to make data easily consumable by other products. They do not apply complex business logic; transformations are mostly syntactic. The semantics remain aligned with that of the source system from which they collect data. This type of pure data product generally reads data from a single source system. Any connections with data from other systems would require applying business logic. Consolidation operations...

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