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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 RDBMSs, 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. Understandably, this begets good questions:
In this session, we’ll answer these questions and more, provide a number of data modeling rules of thumb, and discuss the tradeoffs of various data modeling strategies.
Dwight is CEO of 10gen which sponsors the open source MongoDB project. Dwight is an active MongoDB committer.
Dwight was cofounder of DoubleClick and CTO of DoubleClick for 10 years. Dwight is the original architect of the DoubleClick DART ad serving system.
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