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Illustrate a simple example of the working of MapReduce.
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what is distributed cache in mapreduce framework?
How to set mappers and reducers for MapReduce jobs?
How much space will the split occupy in Mapreduce?
What do sorting and shuffling do?
What happens when a DataNode fails during the write process?
What is a "map" in Hadoop?
how JobTracker schedules a task ?
What is the best way to copy files between HDFS clusters?
What combiners is and when you should use a combiner in a MapReduce Job?
If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?
Which one will you decide for an undertaking – Hadoop MapReduce or Apache Spark?
How to set the number of mappers to be created in MapReduce?
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