How to optimize MapReduce Job?
For a job in Hadoop, is it possible to change the number of mappers to be created?
Explain what is distributed cache in mapreduce framework?
Explain the features of Apache Spark because of which it is superior to Apache MapReduce?
What do you understand by mapreduce?
Explain the sequence of execution of all the components of MapReduce like a map, reduce, recordReader, split, combiner, partitioner, sort, shuffle.
Explain the process of spilling in Hadoop MapReduce?
what are the main configuration parameters that user need to specify to run Mapreduce Job ?
What is map/reduce job in hadoop?
How many InputSplits is made by a Hadoop Framework?
What is the Reducer used for?
How data is spilt in Hadoop?
How do Hadoop MapReduce works?
In MapReduce how to change the name of the output file from part-r-00000?
In Hadoop what is InputSplit?