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
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.
Similar Questions
Which programming paradigm is used in MapReduce?Question 27Answera.Procedural programmingb.Object-oriented programmingc.Imperative programmingd.Functional programming
In MapReduce, what is the role of the Mapper?Question 1Answera.Data filteringb.Data sortingc. Data shufflingd.Data processing
What is MapReduce in the context of Big Data processing?Question 14Answera.A data visualization toolb.A data processing modelc.A data storage systemd.A data security protocol
Which component of Hadoop is responsible for job scheduling andresource management?Question 2Answera. HDFSb.MapReducec.YARNd. Pig
Which of the following about the MapReduce framework is/are correct?Question 7Select one or more:Select one or more:a.The MapReduce framework must be able to handle concurrent transactions, which are common in a distributed computing environment.b.The key/value pairs generated by map workers are directly sent to reduce workers as input.c.A reduce worker can only start a reduce task after all map workers finish their map tasks.d.A reduce worker may start a reduce task while some map workers are still running their map tasks.e.In the MapReduce framework, developers need to handle load balancing by writing code in the map and reduce functions.
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