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when do reducers play their role in a mapreduce task?
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What is the job of blend () and repartition () in Map Reduce?
Can we submit the mapreduce job from slave node?
How many Reducers run for a MapReduce job in Hadoop?
What is the need of MapReduce in Hadoop?
Explain about the partitioning, shuffle and sort phase in MapReduce?
What happens if the quantity of the reducer is 0 in mapreduce?
What is Mapper in Hadoop MapReduce?
mapper or reducer?
How many Reducers run for a MapReduce job?
Can we set the number of reducers to zero in MapReduce?
Explain the features of Apache Spark because of which it is superior to Apache MapReduce?
Explain the differences between a combiner and reducer
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