Can you explain how MapReduce works?
Sure! MapReduce is a programming model used for processing large data sets with a distributed algorithm.
What are the main components of MapReduce?
The main components are the Map function, which processes input data, and the Reduce function, which aggregates the results.
How does the Map function work in detail?
The Map function takes input data and transforms it into a set of key-value pairs, which are then shuffled and sorted.
Can you give an example of a MapReduce job?
Certainly! A common example is counting the number of occurrences of each word in a large text file.
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