Answer / Upendra Kumar Raj

Hadoop MapReduce is used for processing large datasets because it allows for distributed processing, meaning that the workload is split across multiple machines. This makes it efficient for processing big data.

Which are the methods in the mapper interface?

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What are the primary phases of a Reducer?

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Compare Pig vs Hive vs Hadoop MapReduce?

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Explain the general mapreduce algorithm

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Define speculative execution?

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what are the three modes in which Hadoop can be run?

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How is mapreduce related to cloud computing?

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How to create custom key and custom value in MapReduce Job?

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What is a map side join?

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What is the purpose of textinputformat?

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Describe what happens to a mapreduce job from submission to output?

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A number of combiners can be changed or not in MapReduce?

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