July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Hadoop MapReduce
As we already said, Hadoop MapReduce is a library, that allows you to process data in a scalable way.
There are two main abstractions in the MapReduce framework: Map and Reduce. This idea originally comes from the functional programming paradigm, where map and reduce are high-level functions:
- map: This takes in a function and a sequence of elements and applies the function to each of the elements in turn. The result is a new sequence.
- reduce: This also takes in a function and a sequence, and it uses this function to process the sequence and ultimately return a single element in the end.
In this book, we have already used the map function from the Java Stream API quite extensively, starting with Chapter 2, Data Processing ...
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