The term Big Data has become popular recently and is used to define exponential data development and availability, both structured and unstructured. Big data is crucial to businesses since more data implies precise analyses which results in efficient decision making, reduced risk and cost reduction. Big Data is used for more complex datasets and refers to application of predictive analytics and other advanced application tools to derive the results and seldom to the size of datasets. The three V’s of Big Data are namely: Volume, Velocity, and Variety. Apart from increasing varieties and velocities of data, data flows are very challenging. Variability, complexity are some other factors of Big Data. Data flows in from different sources and it’s difficult to connect them which has become a huge task these days. Big Data has become necessary for companies which helps them stay updated with the new technologies. Processing the Big Data smartly and accurately is worth a lot of income for the companies. Big Data demands amazing technologies to efficiently process such datasets in given deadlines. There were companies who spend a lot of money on data analytics and other management systems to increase their efficiency. Recently Big Data has increased the need for information organizations. Big Data also helps to grow and continue increasing the number of servers used which only adds to expenses of the company.
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