One of the challenges that comes with moving to MongoDB is figuring how to best model your data.
While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense. Finally, different MongoDB schemas may result in wide differences in database size, query performance, and required hardware.
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