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When is it not recommended to use MapReduce paradigm for large


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More MapReduce Interview Questions

How to sort intermediate output based on values in MapReduce?

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Is it important for Hadoop MapReduce jobs to be written in Java?

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In which kind of scenarios MapReduce jobs will be more useful than PIG in Hadoop?

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How will you submit extra files or data ( like jars, static files, etc. ) For a mapreduce job during runtime?

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what daemons run on a master node and slave nodes?

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What is a combiner and where you should use it?

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Explain the process of spilling in Hadoop MapReduce?

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How much space will the split occupy in Mapreduce?

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What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?

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For a Hadoop job, how will you write a custom partitioner?

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When is it not recommended to use MapReduce paradigm for large scale data processing?

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Where is Mapper output stored?

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