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When is it not recommended to use MapReduce paradigm for large scale data processing?
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What is shuffling and sorting in Hadoop MapReduce?
Explain the process of spilling in MapReduce?
What are the four essential parameters of a mapper?
How is Spark not quite the same as MapReduce? Is Spark quicker than MapReduce?
What is the fundamental difference between a MapReduce InputSplit and HDFS block?
What is a IdentityMapper and IdentityReducer in MapReduce ?
Why Mapper runs in heavy weight process and not in a thread in MapReduce?
How data is spilt in Hadoop?
Explain what is distributed cache in mapreduce framework?
Clarify what combiners are and when you should utilize a combiner in a map reduce job?
What is the Reducer used for?
Why is Apache Spark faster than Hadoop MapReduce?
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