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What is a “map wave” in Hadoop in the context of parallel data processing?Group of answer choicesIt is the number of map tasks in a given jobIt is the number of map tasks that execute concurrently in parallelIt is the number of cores in clusterIt is the number of map tasks that will execute longer than the other map tasks

Question

What is a “map wave” in Hadoop in the context of parallel data processing?Group of answer choicesIt is the number of map tasks in a given jobIt is the number of map tasks that execute concurrently in parallelIt is the number of cores in clusterIt is the number of map tasks that will execute longer than the other map tasks

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Solution

In the context of parallel data processing in Hadoop, a "map wave" refers to the number of map tasks that execute concurrently in parallel. This is crucial in Hadoop's MapReduce model where the map tasks are distributed across different nodes in a cluster for parallel execution to speed up data processing. The more the map tasks that can be executed in parallel (i.e., in a single "wave"), the faster the overall data processing time.

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