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When is it not recommended to use MapReduce paradigm for large
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How to sort intermediate output based on values in MapReduce?
Is it important for Hadoop MapReduce jobs to be written in Java?
In which kind of scenarios MapReduce jobs will be more useful than PIG in Hadoop?
How will you submit extra files or data ( like jars, static files, etc. ) For a mapreduce job during runtime?
what daemons run on a master node and slave nodes?
What is a combiner and where you should use it?
Explain the process of spilling in Hadoop MapReduce?
How much space will the split occupy in Mapreduce?
What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?
For a Hadoop job, how will you write a custom partitioner?
When is it not recommended to use MapReduce paradigm for large scale data processing?
Where is Mapper output stored?
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