dc.creator | Gonzales, Cesar | |
dc.date.accessioned | 2016-12-05T17:59:20Z | |
dc.date.accessioned | 2023-05-31T19:57:24Z | |
dc.date.available | 2016-12-05T17:59:20Z | |
dc.date.available | 2023-05-31T19:57:24Z | |
dc.date.created | 2016-12-05T17:59:20Z | |
dc.date.issued | 2015-09 | |
dc.identifier | http://hdl.handle.net/20.500.11818/434 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6508765 | |
dc.description.abstract | Big 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.language | eng | |
dc.publisher | Universidad Inca Garcilaso de la Vega | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Universidad Inca Garcilaso de la Vega | |
dc.source | Repositorio Institucional - UIGV | |
dc.subject | Big Data | |
dc.subject | Data Science | |
dc.subject | Bases de datos | |
dc.subject | SPSS | |
dc.subject | Análisis de datos | |
dc.title | Big Data - principios, práctica, aplicaciones | |
dc.type | info:eu-repo/semantics/conferenceObject | |