Big Data: Volume vs Variety According to McKinsey and Gartner
The value of “big data” lies less in its volume than in its variety. This is the gist of a recent report from the McKinsey Global Institute, Big data: The next frontier for innovation, competition, and productivity.
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On the vendors’ side of the house, Stephen Brobst, Teradata’s chief technology officer, has told us: “It’s not actually the size of the data that matters as much as the diversity. One important factor is the transition from transactions to interactions. This creates big data.”
I think the value of Big Data resides in the insights it is hiding—volume is essential to get these—and the multitude of possibilities to enhance it with either metadata and/or other data sets. Emphasizing only some of these aspects will just diminish BigData value.
Original title and link: Big Data: Volume vs Variety According to McKinsey and Gartner (©myNoSQL)
