Difference between revisions of "Big Data"
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According to ''Gartner'', "Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation."<ref>[https://www.gartner.com/en/information-technology/glossary/big-data Gartner Glossary]</ref> | According to ''Gartner'', "Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation."<ref>[https://www.gartner.com/en/information-technology/glossary/big-data Gartner Glossary]</ref> | ||
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| + | The ''Oxford English Dictionary'' refers to big data as "Computing data of a very large size, typically to the extent that its manipulation and management present significant logistical challenges." <ref>[https://www.oed.com/view/Entry/18833?redirectedFrom=Big+Data#eid301162177 Oxford English Dictionary]</ref> | ||
Revision as of 15:30, 18 September 2020
Big Data refers not only to the volume of data, but also to its variety (structured and unstructured, documents, files, audio, video, and streaming data, etc.), and the speed at which it is produced (velocity).[1]
According to Gartner, "Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation."[2]
The Oxford English Dictionary refers to big data as "Computing data of a very large size, typically to the extent that its manipulation and management present significant logistical challenges." [3]
- ↑ DAMA-DMBOK2, Big Data and Data Science, pg. 497
- ↑ Gartner Glossary
- ↑ Oxford English Dictionary
