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Big data. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.
By Klarity In Big Data. What is âbig dataâ? Given its widespread usage across mass media environments, it is not surprising that the precise meaning of the term is often vague. Big data can be understood as the convergence of four dimensions, or the four Vâs: volume, variety, velocity and veracity. The 4Vâs is a data management trend that was conceived to help organisations realise and cope with the emergence of big data. Volume. This dimension refers to the quantity of data, as big data is frequently defined in terms of massive data sets with measures such as petabytes and zettabytes commonly referenced. And these vast amounts of data are generated every second. This used to be employee-created data.