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dc.contributor.authorT, Saranya-
dc.contributor.authorD, Nivetha-
dc.date.accessioned2020-09-15T04:49:06Z-
dc.date.available2020-09-15T04:49:06Z-
dc.date.issued2018-
dc.identifier.issn2250-3021-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1478-
dc.description.abstractBig data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. And it has one or more of the following characteristics – high volume, high velocity, or high variety. Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media - much of it generated in real time and in a very large scale.en_US
dc.language.isoenen_US
dc.publisherSri Sankara Arts and Science Collegeen_US
dc.subjectbig dataen_US
dc.subjectblack box dataen_US
dc.subjectsocial media dataen_US
dc.subjectstock exchange dataen_US
dc.subjectpower grid dataen_US
dc.subjecttransport dataen_US
dc.subjectsearch engine dataen_US
dc.titleBIG DATAen_US
dc.title.alternativeComputational intelligence and data scienceen_US
dc.typeBooken_US
Appears in Collections:International Conference

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