Introduction
There are many definitions of big data. Some define it by scale, some by methods or technology that can be used, and so on.
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Directions
In your initial post, come up with your own or adopt (cite) definition for data mining of large data sets from the academic literature (max 5 years old).
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Explain what requirements the data has to meet to qualify to be big data. What would make it different from a regular dataset in terms of scale, methods, and technologies that should be used to analyze it? Make sure NOT to limit the basis of your submission to so-called five V’s of big data. Explain what criteria the data must meet in order to be classified as big data. What distinguishes it from a regular dataset in terms of scale, methods, and technologies to be used to analyze it? Make certain that your submission does not rely solely on the so-called “five V’s of big data.”
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In your responses find or come up with and an example of a dataset/data analysis that would meet the requirements of at least one student’s definition, but you would not qualify it as data mining of big data. Explain why.
1 primary post – 300 words
