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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

Boosting developer experience

Each data product to be released must provide, through a descriptor document, all necessary information both to assess its compliance with defined governance policies and to manage and operate it correctly within the runtime environment. There are typically no restrictions on its internal structure, which is hidden through the abstraction provided by its exposed interfaces (information hiding). The team developing a product can, therefore, autonomously choose the technologies and internal architecture. However, implementing this internal infrastructure from scratch for each product generates a cognitive load on the development team, requiring both greater specialized technical skills and longer development times. To improve the development experience, the XOps platform must provide reusable components that can be combined to build new data products, reducing technological complexity and development times. The platform must also support the governance capability...

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