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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

Summary

This chapter comprehensively explored the deployment, governance, and consumption of data product instances.

We delved into the creation of automated deployment pipelines for testing and releasing data product instances across various environments, from test to production. Pipeline automation is the foundation for CI/CD approaches, which are crucial for rapid problem identification and resolution before they become too intricate. By adopting such approaches, development and release activities can be made more efficient and replicable, as we learned in this chapter.

We also examined the governance of data product instances in production environments. Specifically, we focused on methods for collecting and automatically evaluating data product metadata using computational policies. We further explored how to monitor a data product instance through its observability ports, as well as how to perform administrative tasks on it via its control ports.

Finally, we delved into...

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