DATABASE FUNDAMENTALS
BASICS OF BIG DATA
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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HDFS
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YARN
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Map Reduce
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PIG
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Detailed explanation-1: -MapReduce is a programming model and an associated implementation for processing and generating large data sets.
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 big data analysis model that processes data sets using a parallel algorithm on computer clusters, typically Apache Hadoop clusters or cloud systems like Amazon Elastic MapReduce (EMR) clusters. A software framework and programming model called MapReduce is used to process enormous volumes of data.
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).
Detailed explanation-5: -MapReduce is suitable for iterative computation involving large quantities of data requiring parallel processing. It represents a data flow rather than a procedure. It’s also suitable for large-scale graph analysis; in fact, MapReduce was originally developed for determining PageRank of web documents.