Business organizations can use Hadoop MapReduce programming to have access to a variety of new data sources and also operate on data types, whether they are structured or unstructured. This allows them to generate value from all the data accessible to them. This is an advantage that includes the advantages of Big Data in terms of:

BASICS OF BIG DATA

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

A	Flexibility
B	Luxury
C	cost-effective solution
D	Scalability
E	Fast

Explanation:

Detailed explanation-1: -Hadoop has the ability to process and store all variety of data whether it is structured, semi-structured or unstructured.

Detailed explanation-2: -MapReduce can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of unstructured data.

Detailed explanation-3: -MapReduce is a programming model used for efficient processing in parallel over large data-sets in a distributed manner. The data is first split and then combined to produce the final result. The libraries for MapReduce is written in so many programming languages with various different-different optimizations.

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). It is a core component, integral to the functioning of the Hadoop framework.

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FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

BASICS OF BIG DATA