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MapReduce Fundamentals

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Map Function

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In MapReduce, the map function processes input data in key-value pairs and outputs intermediate key-value pairs.

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Combiner Function

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An optional function in the MapReduce framework used to combine intermediate key-value pairs with the same key to reduce the amount of data transferred between the map and reduce phases.

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Key-Value Pair

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A fundamental data structure in MapReduce, consisting of a unique identifier (key) and associated information (value) that is processed by the map and reduce functions.

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Reduce Function

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The reduce function in MapReduce takes the intermediate key-values pairs from the map phase, sorts them, and processes them to output the final result.

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Hadoop

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An open-source framework that allows for the distributed processing of large data sets across clusters of computers using the MapReduce programming model.

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Shuffling

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Shuffling in MapReduce is the process of redistributing data across different reducers such that all data belonging to one key goes to the same reducer.

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