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What do you understand by compute and storage nodes?
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What happen if the number of the reducer is 0 in MapReduce?
Why the output of map tasks are stored (spilled ) into local disc and not in hdfs?
What is mapreduce algorithm?
What is the sequence of execution of map, reduce, recordreader, split, combiner, partitioner?
What are the identity mapper and reducer in MapReduce?
how can you check whether Namenode is working beside using the jps command?
What are advantages of Spark over MapReduce?
what is the Hadoop MapReduce APIs contract for a key and value class?
Where is Mapper output stored?
What is the Reducer used for?
What is the job of blend () and repartition () in Map Reduce?
What is the need of key-value pair to process the data in MapReduce?
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