Answer / Kumar Bhaskar

A Reducer in MapReduce is a task that combines the intermediate key-value pairs produced by the Mapper tasks, based on their common key. The Reducer applies a user-defined reduction function to the sorted input data and produces the final output.

What is the next step after Mapper or MapTask?

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how to proceed to write your first mapreducer program?

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Does mapreduce programming model provide a way for reducers to communicate with each other? In a mapreduce job can a reducer communicate with another reducer?

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What are the configuration parameters in the 'MapReduce' program?

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What is identity mapper and identity reducer?

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Compare Pig vs Hive vs Hadoop MapReduce?

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Is it legal to set the number of reducer task to zero? Where the output will be stored in this case?

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Which one will you decide for an undertaking – Hadoop MapReduce or Apache Spark?

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In MapReduce, ideally how many mappers should be configured on a slave?

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Mention when to use Map reduce mode?

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how can you check whether Namenode is working beside using the jps command?

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Is it possible to split 100 lines of input as a single split in MapReduce?

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