Answer / Sidharth Gautam

In MapReduce, a partitioner is a component that divides the input data into smaller pieces (partitions) for processing by multiple mappers. The partitioner ensures that similar data ends up on the same mapper to improve efficiency.

Mention what are the main configuration parameters that user need to specify to run mapreduce job?

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What comes in Hadoop 2.0 and MapReduce V2 YARN

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What is a "reducer" in Hadoop?

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What are mapreduce new and old apis while writing map reduce program?. Explain how it works

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Why Hadoop MapReduce?

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What is reduce side join in mapreduce?

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How does fault tolerance work in mapreduce?

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What are the steps involved in MapReduce framework?

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What is the difference between Hadoop and RDBMS?

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What are the four basic parameters of a reducer?

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What is a distributed cache in mapreduce framework?

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How to submit extra files(jars, static files) for Hadoop MapReduce job during runtime?

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