January 2024
Intermediate to advanced
356 pages
9h 53m
English
Content preview from Unifying Business, Data, and Code
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.
Chapter 14. Introducing JSON Unify
Great things are done by a series of small things brought together.
Vincent Van Gogh
In previous chapters, you saw the idea of a data product introduced in Chapter 4 come to life using JSON and JSON Schema. More specifically, given an example JSON dataset, which corresponds to the data facet of a data product, we used JSON Schema to describe the remaining three facets: structure, meaning, and context.
The attentive reader might have realized there is still one problem. According to Chapter 4, a data product “encapsulates both the data and its packaging into a single, self-contained object.” However, the data product we defined in Chapter 12 and Chapter 13 is not standalone. The data lives separately from the schema, without any connection between them, and the schema does not contain all the information itself; it mostly references other schemas in our schema registry that do contain the information.
The aim of this chapter is to give you a glimpse of how JSON Schema can be extended, once again, to fix this last set of concerns. Rather than something to use and deploy right now, consider this chapter to be a thought-provoking experiment about the future of data products using JSON Schema. The authors of this book are exploring these ideas under the JSON Unify name and hope to publish an open source specification and implementation in the future.
Introducing the Dataset Vocabulary
If the core problem is collocating schema and data, what about ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.