Data Intensive Computing is a class of parallel computing which uses data parallelism in order to process large volumes of data. The size of this data is typically in terabytes or petabytes. This large amount of data is generated each day and it is referred to Big Data. Data intensive computing has some characteristics which are different from other forms of computing. Check out the characteristics of Data-Intensive computing and how they differ from other forms of computing:
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