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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

Consuming data products

To make existing data products readily usable, three key areas need to be addressed: discoverability, access request automation, and data composition ease. This section dives deeper into these crucial aspects of data product consumption.

Discovering data products

Scanning the observability ports of all deployed products to find the desired one is neither convenient nor efficient. To facilitate discovery, implementing a data product registry within the self serve platform is highly beneficial. This registry should not only store the main URL of each data product instance but also retain its complete descriptor, indexed appropriately to enable easy search.

Upon storing a data product’s descriptor, the registry should be capable of transmitting it, in its entirety or partially, to other metadata management tools. Essentially, the registry should operate as a data product hub. This approach allows, for example, sharing a data product’s metadata...

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