The traditional statistics of big data mainly revolves around structured data. It involves around statistical techniques which is things such as surveys, interviews, experiment data etc and visualisation's. But it also may include machine learning, data storage and additional techniques. Using a range of data sources such as social media, lot devices or sensors which is used for big data analytics.
Big data is large and varied collections of data. That cannot be managed by traditional systems. It’s studied to reveal patterns, trends and associations. It was created by Roger Douglas in 2005. The data is so large and complex in its volume, velocity and variety that normal data management/storage systems can’t store, process or analyse due to the mass size of the dataset.
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