DATABASE FUNDAMENTALS
BASICS OF BIG DATA
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Only statement 1 is true
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Only statement 2 is true
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Both statements are true
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Both statements are false
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Detailed explanation-1: -Statement 1: Volatility refers to the data velocity relative to timescale of event being studied. Statement 2: Viscosity refers to the rate of data loss and stable lifetime of data.
Detailed explanation-2: -The volatility, sometimes referred to as another āVā of big data, is the rate of change and lifetime of the data.
Detailed explanation-3: -Volatility refers to the rate of change and lifetime of data. Organizations need to understand how long a specific type of data is valid. For example, sentiments frequently change in social media and are highly volatile. An example of low volatile data is weather trends which are easier to predict.
Detailed explanation-4: -IBM data scientists break it into four dimensions: volume, variety, velocity and veracity.