Answer / Ankit

MapReduce is a programming model and software framework for processing large data sets with parallel computation. It breaks the input data into smaller pieces (splits), applies a user-defined map function to each split, then shuffles and sorts the results to a set of reducers that perform a reduce function on the data.

Why Mapper runs in heavy weight process and not in a thread in MapReduce?

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Can we set the number of reducers to zero in MapReduce?

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What is the best way to copy files between HDFS clusters?

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what are the most common input formats defined in Hadoop?

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What is the difference between RDBMS with Hadoop MapReduce?

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what are the basic parameters of a Mapper?

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What is the default input type in MapReduce?

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In MapReduce how to change the name of the output file from part-r-00000?

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What is a scarce system resource?

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In Map Reduce why map write output to Local Disk instead of HDFS?

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

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What is the input type/format in MapReduce by default?

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