November 2024
Intermediate to advanced
374 pages
11h 25m
English
Content preview from Managing Data as a Product
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Part 2: Managing the Data Product Lifecycle
In this part, we’ll explore how to manage a data product throughout its lifecycle. We’ll begin by examining how to identify the data products to develop, prioritize them using a business-case-driven approach, and design them based on collected requirements. We will then look at how to handle releases and data product management in a production environment by adapting common DevOps practices to the data context. Finally, we will explore how to automate data product lifecycle management through a self-serve platform, analyzing its core capabilities, architecture, and implementation options (make versus buy).
This part has the following chapters:
- Chapter 4, Identifying Data Products and Prioritizing ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.