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Big data refers to data that is so large, fast, or complex that it is difficult or impossible to process it using traditional methods. The operation of accessing and storing large amounts of information for analysis has been around for a long time. But the idea of ​​big data gained momentum in the early 2000s when industry analyst Doug Laney formulated the mainstream definition of big data as the three V’s: volume. Organizations collect data from a variety of sources, including transactions, smart devices (IoT), industrial equipment, videos, photos, audio, social media and more. In the past, storing all this data was too expensive – but cheaper storage using Data Lakes, Hadoop and the cloud eased the burden.

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