by Paige Reimers,
3/10/21
The term "Big Data" often brings notions of the more, the better. But as the volume and the number of available datasets have grown over the last two decades, the consumers of Big Data have started to feel the ramifications. When big data gets too big, it can become unwieldy; it's too much to review, often unorganized, or doesn't have analytical power to evaluate it.
One of the original definitions of Big Data (Gartner, 2001) is "data that contains greater variety arriving in increasing volumes...
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