dc.creatorGonzales, Cesar
dc.date.accessioned2016-12-05T17:59:20Z
dc.date.accessioned2023-05-31T19:57:24Z
dc.date.available2016-12-05T17:59:20Z
dc.date.available2023-05-31T19:57:24Z
dc.date.created2016-12-05T17:59:20Z
dc.date.issued2015-09
dc.identifierhttp://hdl.handle.net/20.500.11818/434
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6508765
dc.description.abstractBig Data: Escalating amount and complexity of data require new approaches to architecture, tools and analysis. Big Data is everywhere, in Internet searches, Social media exchanges, Commercial Systems transactions, Scientific and Environmental Sensor transmissions (eScience), Internet of Things (IOT) exchanges, Mobile devices transmissions, etc.
dc.languageeng
dc.publisherUniversidad Inca Garcilaso de la Vega
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceUniversidad Inca Garcilaso de la Vega
dc.sourceRepositorio Institucional - UIGV
dc.subjectBig Data
dc.subjectData Science
dc.subjectBases de datos
dc.subjectSPSS
dc.subjectAnálisis de datos
dc.titleBig Data - principios, práctica, aplicaciones
dc.typeinfo:eu-repo/semantics/conferenceObject


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