December 2026
Intermediate to advanced
132 pages
3h 15m
English
Content preview from Building Data Products
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Preface
I have been building data products before they were called data products. At PayPal, at Expedia, and in a few places I probably shouldn’t name, I watched teams struggle with the same problems over and over: data that nobody trusted, pipelines that nobody owned, and “data strategies” implemented on the PEW1 stack.
When the data product concept started gaining traction, I was really excited and got passionate. Finally, a way to talk about what we had been doing all along: treating data as something you build, ship, operate, and improve. Not as a byproduct of applications. Not as a pile of tables someone dumps into a lake and hopes for the best.
This book is my attempt to share what I learned the hard way. You will meet Cindy (a data engineer), Beth (a data product owner), and Juliette (a data scientist). They are fictional (are they?), but the problems they face are not. You will write YAML. You will build a sidecar. You will deploy a data product using open standards like ODCS and ODPS. You will also discover that integrating a data product into an organization is harder than building one.
This is a technical book, published by O’Reilly, written for practitioners. If you are a data engineer, a data architect, a data product owner, or someone who just got told we are doing data products now and needs to figure out what that actually means: this book is for you.
What This Book Is Not
I know: one notorious AI quirk is to start with what something is not. You may think that ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.