What is the role of recordreader in hadoop mapreduce?
Explain about the partitioning, shuffle and sort phase
What are the the issues associated with the map and reduce slots based mechanism in mapReduce?
How to set mappers and reducers for Hadoop jobs?
Define the Use of MapReduce?
How many InputSplits is made by a Hadoop Framework?
When should you use a reducer?
Which among the two is preferable for the project- Hadoop MapReduce or Apache Spark?
How does inputsplit in mapreduce determines the record boundaries correctly?
When is it not recommended to use MapReduce paradigm for large scale data processing?
In which kind of scenarios MapReduce jobs will be more useful than PIG in Hadoop?
Is Mapreduce Required For Impala? Will Impala Continue To Work As Expected If Mapreduce Is Stopped?
Explain what is distributed cache in mapreduce framework?