September 2023
Intermediate to advanced
312 pages
5h 38m
English
Content preview from Practical MongoDB Aggregations
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Foreword
I've been involved with databases since I joined a small database company in the early 1990s. For the next two decades, I believed databases were synonymous with SQL until someone asked me what I thought about the new NoSQL databases, and MongoDB—in particular. This led me to try MongoDB for a small side project I was working on. The rest, as they say, is history.
When I joined 10gen—the company that created MongoDB, in early 2012, the query language was simple and straightforward. There weren't options for easy data aggregation because the general advice was, "Store the data the way you expect to access the data," which was a fantastic approach for fast point queries.
However, as time went on, it became clear that there are times when ...
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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.