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

Data Products

In the previous chapter, we explored the importance of managing data as a product rather than simply as a by-product. Managing data as a product involves applying the principles of product management to data management. These principles are better suited for handling a strategic asset such as data compared to the principles of project management.

In this chapter, we will delve into what exactly a data product is by first introducing the concepts of data product, pure data product, and analytical application. We will then define what a pure data product is and proceed to analyze its structure and key characteristics. Finally, we will examine some commonly adopted methods for classifying pure data products.

This chapter will cover the following main topics:

  • Defining a data product
  • Exploring key characteristics of pure data product
  • Dissecting the anatomy of a pure data product
  • Classifying pure data product
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