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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

Dissecting the architecture’s management plane

The operational capabilities of the data management function must be managed to ensure that the implemented solution aligns with the organization’s global objectives and strategy. This is the responsibility of the management functions (System 2-5) that we will analyze in detail in this section.

Identity system

The identity system (System 5) within the data management function plays a crucial role in shaping the vision and foundational principles that underpin the data strategy. The vision and principles of the data management function must align with the vision and principles of the organization.

The vision provides a high-level description of the desired future state for the data capabilities of the organization. It offers a clear and challenging picture of how data will be leveraged to drive innovation, improve decision-making processes, and support the organization in achieving its goals. The vision guides the...

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