It used to be if you wanted to run a big database, you got yourself a big computer. For a really big database, that meant a big mainframe or a cluster of hefty servers. But today, businesses and researchers alike are interested in vast collections of data that would swamp even a supercomputer and overwhelm any standard database management software.
Welcome to the world of big data. The exact definition of big data is a bit slippery, but Wikipedia does quite well: "Data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target currently ranging from a few dozen terabytes to many petabytes of data in a single data set." Examples of such data sets range from billions of Google searches conducted by millions of users to the data collected by millions of weather sensors around the globe to all the purchases of British supermarket shoppers.
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Big Data: The New Frontier of Analytics
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