April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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MapReduce
There are a number of concepts to perform data mining and general computation on big data. One of the most popular is the MapReduce model, which can be used for general computation on arbitrarily large datasets.
MapReduce originates from Google, where it was developed with distributed computing in mind. It also introduces fault tolerance and scalability improvements. The original research for MapReduce was published in 2004, and since then there have been thousands of projects, implementations, and applications using it.
While the concept is similar to many previous concepts, MapReduce has become a staple in big data analytics.
There are two major stages in a MapReduce job.
- The first is Map, by which we take a function and a list ...
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