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After getting introduced to MongoDB, installing the server and delving into the Shell commands, we covered the integration of MongoDB with applications written in Java and more advanced topics like Sharding and Replication.

We will now continue with discussing Map/Reduce and how MongoDB can leverage it. Map/Reduce is a framework which allows to parallelize the processing of large and very large datasets across many physical or virtual servers. This paradigm, firstly popularized by Google, has gotten a lot of traction these days, mostly because of the Big Data movement.

Many NoSQL solutions aim to support integration with Map/Reduce frameworks but MongoDB goes further than that and provides its own Map/Reduce implementation integrated into the MongoDB server, available for everyone to consume.

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