What is the fundamental difference between a MapReduce InputSplit and HDFS block?
Which among the two is preferable for the project- Hadoop MapReduce or Apache Spark?
Why MapReduce uses the key-value pair to process the data?
Why comparison of types is important for MapReduce?
What is difference between a MapReduce InputSplit and HDFS block
What is a partitioner and how the user can control which key will go to which reducer?
How data is spilt in Hadoop?
For a Hadoop job, how will you write a custom partitioner?
How to overwrite an existing output file during execution of mapreduce jobs?
What are the disservices of utilizing Apache Spark over Hadoop MapReduce?
What is Combiner in MapReduce?
Explain slot in Hadoop Map-Reduce v1?
Clarify what is shuffling in map reduce?