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Why Hadoop MapReduce?
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What happens when a DataNode fails during the write process?
What is shuffling and sorting in Hadoop MapReduce?
Explain the features of Apache Spark because of which it is superior to Apache MapReduce?
What happen if the number of the reducer is 0 in MapReduce?
What is a map side join?
Clarify what is shuffling in map reduce?
If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?
What do you understand by mapreduce?
What is a Distributed Cache in Hadoop?
Why MapReduce uses the key-value pair to process the data?
It can be possible that a Job has 0 reducers?
What are the main components of MapReduce Job?
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