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Data-intensive computing
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<p>Data-intensive computing is a class of <a href="/facts/Parallel_computing/nQzcpzQt">parallel computing</a> applications which use a <a href="/facts/Data_parallel/SkYoL91S">data parallel</a> approach to process large volumes of data typically <a href="/facts/Terabytes/BNHUp9Qq">terabytes</a> or <a href="/facts/Petabytes/BNHUp9Qq">petabytes</a> in size and typically referred to as <a href="/facts/Big_data/XGtrVg4z">big data</a>. Computing applications that devote most of their execution time to computational requirements are deemed compute-intensive, whereas applications are deemed data-intensive if they require large volumes of data and devote most of their processing time to <a href="/facts/Input%2foutput/WQTE8Jas">input/output</a> and manipulation of data. </p>