Managing Big Data
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Stanford engineers at
http://news.stanford.edu/news/2014/september/
ant-radio-arbabian-090914.html
.) Experts estimate that by 2020,
there will be six times as many connected things on earth as there will be
people, but many research companies and think tanks are already revisiting
those figures (
http://www.gartner.com/newsroom/id/3165317
).
Getting algorithms into business
The human race is now at an incredible intersection of unprecedented volumes of
data, generated by increasingly smaller and powerful hardware, and analyzed by
algorithms that this same process helped develop. It’s not simply a matter of
volume, which by itself is a difficult challenge. As formalized by the research
company Gartner in 2001 and then reprised and expanded by other companies,
such as IBM, big data can be summarized by four Vs representing its key charac-
teristics (you can read more on this topic at
http://www.ibmbigdatahub.com/
infographic/four-vs-big-data
):
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