MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

CLOUD COMPUTING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
____ is a programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks.
A
Hive
B
MapReduce
C
Pig
D
Lucene
Explanation: 

Detailed explanation-1: -MapReduce is a programming paradigm designed for processing huge volumes of data in parallel by dividing the job (submitted work) into a set of independent tasks (sub-job).

Detailed explanation-2: -MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.

Detailed explanation-3: -MapReduce is a programming paradigm that enables massive scalability across hundreds or thousands of servers in a Hadoop cluster. As the processing component, MapReduce is the heart of Apache Hadoop. The term “MapReduce” refers to two separate and distinct tasks that Hadoop programs perform.

Detailed explanation-4: -MapReduce is a programming model or pattern within the Hadoop framework that is used to access big data stored in the Hadoop File System (HDFS). It is a core component, integral to the functioning of the Hadoop framework.

Detailed explanation-5: -At a high level, MapReduce breaks input data into fragments and distributes them across different machines. The input fragments consist of key-value pairs. Parallel map tasks process the chunked data on machines in a cluster. The mapping output then serves as input for the reduce stage.

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