DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Open-Source
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Scalability
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Data Recovery
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All the above
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Detailed explanation-1: -What are the different features of big data analytics? 1) Simple result formats 2) processing of raw data 3)Identity management software or prediction apps 4) Security Features. 5) Reporting Feature.
Detailed explanation-2: -Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.
Detailed explanation-3: -There are four main types of big data analytics: diagnostic, descriptive, prescriptive, and predictive analytics.
Detailed explanation-4: -There are actually 4 measurable characteristics of big data we can use to define and put measurable value to it. Volume, Velocity, Variety, and Veracity. These characteristics are what IBM termed as the four V’s of big data.