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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

Understanding the XOps platform

The XOps platform acts as a powerful enabler, streamlining and automating data product development, management, and utilization whenever possible.

In this section, we’ll delve into its critical role in fostering a data-as-product management paradigm. We’ll explore its core functionalities and how to implement them within a future-proof solution that can effortlessly adapt to your organization’s evolving needs.

Mobilizing the data ecosystem

Data per se does not have value. It gains value when it is used to support a business case of organizational interest. However, data generated by operational applications that digitalize the organization’s processes must be collected, consolidated, and transformed before it can be used to support relevant business cases. Traditionally, this process of creating value from operational data, through intermediate transformations to final use, has always been seen as a linear process...

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