Nov 6 • Posted 1 year ago
This is part 3 in a series, which will focus on the data modeling aspect of working with document databases. The previous parts are also available for reading: Part 1: Getting Started, and Part 2: Queries and Indexes.
The Usual Suspects
Although there are plenty of existing articles, presentations and webcasts about modeling your data to take advantage of a document database, this post is taking a slightly PHP-centric position as a part of this series. This information is useful to anyone though, regardless of their chosen programming language.
We’re going to use two different scenarios to look at data modeling in the document world, chosen as common examples to illustrate differences in implementation between relational and document databases:
- Blog. Your garden variety of data, covering posts, comments and tags
- Private Sale / E-Commerce. Taking a look at needs for orders, users and products