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What is the core of the job in MapReduce framework?
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What do you mean by shuffling and sorting in MapReduce?
How can we assure that the values regarding a particular key goes to the same reducer?
For a job in Hadoop, is it possible to change the number of mappers to be created?
How do ‘map’ and ‘reduce’ work?
Map reduce jobs take too long. What can be done to improve the performance of the cluster?
How many Reducers run for a MapReduce job?
When Namenode is down what happens to job tracker?
Whether the output of mapper or output of partitioner written on local disk?
Why Hadoop MapReduce?
What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?
Detail description of the Reducer phases?
Can there be no Reducer?
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