Not all Big Data problems are dealing with volume

Volume, velocity and variety. These three Vs have been used traditionally to classify what constitutes Big Data. So problems that pertain to analysing a few gigabytes of data should technically not be considered Big Data. But it is not so.
“Not all big data problems pertain to large volumes of data. But the data is so diverse that we have to use those techniques to analyse it,” explains Girish Juneja, CTO and GM of Intel Corporation’s Big Data Software and Services.
“In fact, some of this data is so unstructured that it won’t fit into existing systems,” adds Moty Fania, Principal Engineer of Big Data Analytics. “It goes back to what you are trying to achieve. Some of the data is on a gigabyte scale. But you need to be able to react to the data fast enough and without buying a super computer.”

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