Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Managing Data as a Product

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

Arrow left icon
Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835468531
Length 368 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Andrea Gioia Andrea Gioia
Author Profile Icon Andrea Gioia
Andrea Gioia
Arrow right icon
View More author details
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

Summary

In the professional data management community, there is currently no clear convergence on a shared definition of what a data product is. Often, existing definitions are very generic and not usable in practice.

In this chapter, we attempted to provide a clear and truly actionable definition of a data product. Specifically, we introduced pure data products to identify those data products that, unlike analytical applications, are solely aimed at facilitating the reuse and composability of data assets strategically for the organization. Pure data products serve as units of modularization in the data architecture, allowing the potential value of managed data to increase by making it available for the implementation of multiple use cases.

We have delved into what it means for a pure data product to be reusable and composable in detail. To these fundamental characteristics, we added relevance and accuracy, illustrating how these factors also have a decisive impact on the value...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image