April 2018
Beginner to intermediate
360 pages
8h 54m
English
Content preview from Seven Databases in Seven Weeks, 2nd EditionBecome 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,
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Genres Redux
You’ve seen that how databases store their data can be largely divided into five genres: relational, key-value, columnar, document, and graph. Let’s take a moment and recap their differences and see what each style is good for and not so good for—when you’d want to use them and when to avoid them.
Relational
This is the most common classic database pattern. Relational database management systems (RDBMSs) are set-theory-based systems implemented as two-dimensional tables with rows and columns. Relational databases strictly enforce type and are generally numeric, strings, dates, and uninterpreted blobs, but as you saw, PostgreSQL provides extensions such as array or cube.
Good For:
Because of the structured nature of relational ...
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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.