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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

Operating Data Products in Production

In the previous chapter, we explored the design and implementation of data products. This chapter delves into their release and governance in production environments.

We will delve into release methodologies by introducing the principles of Continuous Integration and Continuous Delivery (CI/CD). We will explore the benefits of these approaches and look at how to build an automated release pipeline to support them.

Next, we will explore the governance of data product instances in production environments. This encompasses utilizing observability and control ports, along with computational policies, to ensure data product integrity and adherence to organizational standards.

Finally, we will see how to manage the consumption of data exposed by data products. We will see how to make the data products easily searchable and accessible. We will then show how to compose them together to support multiple business cases and how to manage their evolution...

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