What is a scarce system resource?
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How many Reducers run for a MapReduce job?
What is shuffling and sorting in Hadoop MapReduce?
What do sorting and shuffling do?
Which interface needs to be implemented to create Mapper and Reducer for the Hadoop?
Whether the output of mapper or output of partitioner written on local disk?
How can you add the arbitrary key-value pairs in your mapper?
Why MapReduce uses the key-value pair to process the data?
Name job control options specified by mapreduce.
Explain about the partitioning, shuffle and sort phase
What is mapreduce algorithm?
Is there any point of learning mapreduce, then?
What is the need of MapReduce in Hadoop?
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