Which among the following is the programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks.

BASICS OF BIG DATA

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

A	MapReduce
B	HDFS
C	Pig
D	All the above

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: -A software framework and programming model called MapReduce is used to process enormous volumes of data. Map and Reduce are the two stages of the MapReduce program’s operation.

Detailed explanation-3: -MapReduce is a programming model for writing applications that can process Big Data in parallel on multiple nodes. MapReduce provides analytical capabilities for analyzing huge volumes of complex data.

Detailed explanation-4: -MapReduce is not a database system, but is a programming model introduced and described by Google researchers for parallel, distributed computation involving massive data sets (ranging from hundreds of terabytes to petabytes).

Detailed explanation-5: -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.

There is 1 question to complete.

FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

BASICS OF BIG DATA