MapReduce and Hadoop - Home Base for HPC Professionals. Giant volumes of data are nothing unusual in our times of Google and Facebook.
In 2010, Facebook sat on top of a mountain of data; just one year later it had grown from 21 to 30 petabytes. If you were to store all of this data on 1TB hard disks and stack them on top of one another, you would have a tower twice as high as the Empire State building in New York. Automatically Distributed. Infographic: Who works with Big Data? - ufert.se. User Acquisition and Growth Marketing >> Business Intelligence Architecture >> Analytics Dashboards >> Infographic: Who works with Big Data?
Inspired by this Quora thread, I decided to create an Infographic about the different job titles associated with Big Data. Because the Silicon Valley buzzword machine spits out more phrases than most humans can (or care to) comprehend, “Big Data” is still a mystery to the general tech-public. What’s clear to most data wranglers is a mystery to everyone else: data is created by products — the heart of start-ups and established companies alike — and is then deposited into a black hole of analysis catch-phrases.
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