DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Map Reduce
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Big Data
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Data Mining
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Model Map
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Google Map
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Detailed explanation-1: -MapReduce is a linearly scalable programming model introduced by Google that makes it easy to process in parallel massively large data on a large number of computers. MapReduce works mainly through two functions: Map function, and Reduce function.
Detailed explanation-2: -MapReduce is a programming model and an associated implementation for processing and generating large data sets.
Detailed explanation-3: -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-4: -MapReduce is a programming model for processing large amounts of data in a parallel and distributed fashion. It is useful for large, long-running jobs that cannot be handled within the scope of a single request, tasks like: Analyzing application logs. Aggregating related data from external sources.
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.