DATABASE FUNDAMENTALS
BASICS OF BIG DATA
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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MapReduce
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HDFS
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Pig
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All the above
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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.