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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

Exploring why we need to manage data as a product

To escape the quagmire we find ourselves in, it is necessary to radically change the mental model we use to approach data management and, consequently, the organizational structures and associated operational practices. It’s a systemic change – a paradigm shift in data management practice.

As we’ve seen in the previous sections, attempts to address these problems have been predominantly cosmetic, not radical. We’ve tried to modify the system tactically, reacting to surface-level problems as they arise.

In system thinking, a system can be changed from the outside by acting on parts of it where small changes can lead to significant and lasting changes over time; these parts are called leverage points. Donella Meadows, a renowned researcher in this field, has classified possible leverage points into 12 categories, ranking them by effectiveness. It’s not necessary to delve into the details of each...

You have been reading a chapter from
Managing Data as a Product
Published in: Nov 2024
Publisher: Packt
ISBN-13: 9781835468531
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