Overview
MapReduce is a powerful programming model designed to process large data sets efficiently by breaking tasks into smaller, manageable pieces. It operates on a distributed computing framework, allowing multiple machines to work on data simultaneously, which significantly speeds up processing times. Th...
Key Terms
Example: In a word count program, the map function outputs each word as a key with a count of 1.
Example: In a word count program, the reduce function sums the counts for each word.
Example: In a dictionary, 'apple' can be a key with '1' as its value.
Example: Using multiple servers to process large datasets simultaneously.
Example: A Hadoop cluster used for big data processing.
Example: Using a combiner to sum counts before sending them to the reducer.