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MapReduce

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Distributed computing is not easy. Splitting up the data, assigning different work to different machines, and writing the program bearing in mind all those points is even harder. MapReduce is a framework that solves these problems by using Map and Reduce functions, to let you write code that could be run on many different machines easily. We are going to look at how it works, extensions on the framework, and discuss the pros and cons.

This talk is part of the Churchill CompSci Talks series.

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