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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

Bringing It All Together

Here we are at the end of this book, which I hope will also be the beginning of your journey into adopting the managing data-as-a-product paradigm. Throughout the chapters, we explored what it means to manage data as a product—from understanding the core reasons driving this new approach to diving into technical implementation details and, finally, discussing the organizational shifts needed to make it work. Along the way, I hope you’ve picked up some insights and practical tips to help you make thoughtful decisions and avoid critical mistakes that could hinder successful adoption.

In this final chapter, before passing the ball to you, I’d like to summarize some recurring themes in this book and, more broadly, share my perspective on data management through three core beliefs and a few practical suggestions. I hope these will spark reflection and serve as a helpful compass as you navigate the fascinating world of data management.

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