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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

Managing data product data

Up to this point, we’ve explored how to identify data products to implement in order to support business cases, define the data each product manages and how it’s exposed, and finally, how to formally describe them using a data product descriptor. Let’s now see what are the points of attention to consider in the development of the internal components of a data product that deal with sourcing, processing, and serving data.

Sourcing data

The data product canvas allows you to determine which data each product needs, where it intends to retrieve it from, and how. All of this information can be formally described in the descriptor file in the section dedicated to input ports.

Each input port can acquire data of interest from an external system in the case of source-aligned data products or from another data product in all other cases. Regardless of the source, the data of interest can be communicated from the source to the data product...

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