FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

BASICS OF BIG DATA

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
____ is a programming model and an associated implementation for processing and generating large data sets
A
HDFS
B
YARN
C
Map Reduce
D
PIG
Explanation: 

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.

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