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
Question
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
Solution
MapReduce is a data processing model. It is a programming model used for processing and generating large data sets with a parallel, distributed algorithm on a cluster. It consists of two steps: Map step and Reduce step. In the Map step, the input dataset is divided into smaller sub-parts and then processed in parallel. The Reduce step takes the output from the Map step and combines those data tuples into a smaller set of tuples.
Similar Questions
MapReduce
The MapReduce programming model is designed for:Question 3Select one:A.Real-time data processingB.Simplifying relational database operationsC.Distributed computation over large datasetsD.Enhancing SQL query performanceE.Handling large datasets on a single machine
Which programming paradigm is used in MapReduce?Question 27Answera.Procedural programmingb.Object-oriented programmingc.Imperative programmingd.Functional programming
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.
In MapReduce, what is the role of the Mapper?Question 1Answera.Data filteringb.Data sortingc. Data shufflingd.Data processing
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