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dc.contributor.advisorQuintero, Juan Bernardo
dc.contributor.advisorManrique Losada, Bell
dc.contributor.authorGutiérrez Jiménez, Edisson Estelio
dc.coverage.spatialLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.date2021-06-09
dc.date.accessioned2021-06-17T14:07:37Z
dc.date.available2021-06-17T14:07:37Z
dc.identifier.otherT 0108 2021
dc.identifier.urihttp://hdl.handle.net/11407/6408
dc.descriptionBig Data se refiere a conjuntos de datos cuyo volumen, velocidad y variedad dificultan su captura, gestión y procesamiento mediante tecnologías y herramientas convencionales. Este concepto ha generado nuevas necesidades en las organizaciones para permitir la captura, almacenamiento y análisis de datos con estas características y así obtener información relevante para la toma de decisiones. Un reto para las organizaciones es la implementación de una arquitectura que permita cubrir estas necesidades, ya que deben considerar las diferentes tecnologías existentes y deben establecer las políticas para el gobierno de datos que están en manos de los usuarios. Una arquitectura de referencia de una plataforma de analítica de datos, que se desvincule de herramientas tecnológicas es una guía que le permite a las organizaciones trazar un camino para lograr la gestión de grandes volúmenes de datos y así tener herramientas efectivas para la toma de decisiones empresariales. La arquitectura de referencia es lo suficientemente general como para implementarse con diferentes tecnologías, paradigmas informáticos y software analítico, dependiendo de los requisitos y propósitos de cada organización. En el proyecto desarrollado se realizó la implementación de la arquitectura con datos de la atención de urgencias en centros hospitalarios de la ciudad de Medellín. Uno de los resultados del trabajo de investigación es que la arquitectura propuesta considera diferentes tipos de usuario y de fuentes de datos, no genera dependencia por el tipo de herramientas tecnológica que se utilizan y establece una capa para el gobierno de datos.spa
dc.description.abstractBig Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. The reference architecture is general enough to be implemented with different technologies, computing paradigms and analytical software, depending on the requirements and purposes of each organization. In the developed project, the architecture was implemented with data from emergency care in hospitals in the Medellín city. One of the results of the research work is that the proposed architecture considers different types of user and data sources, does not generate dependency due to the type of technological tools used and establishes a layer for data governance.eng
dc.format.extentp. 1-91
dc.format.mediumElectrónico
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherUniversidad de Medellínspa
dc.publisherUniversidad de Medellínspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0*
dc.subjectArquitectura
dc.subjectAnalítica de datos
dc.subjectGobierno de datos
dc.titleDefinición de una arquitectura de referencia para plataformas de servicios de datosspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.publisher.programMaestría en Ingeniería de Softwarespa
dc.type.spaTesis Maestríaspa
dc.subject.lembIngeniería de softwarespa
dc.subject.lembMinería de datosspa
dc.subject.lembProcesamiento de datosspa
dc.subject.lembServicios de procesamiento de datosspa
dc.subject.keywordBig data
dc.subject.keywordArchitecture
dc.subject.keywordData analytics
dc.subject.keywordData government
dc.relation.citationstartpage1
dc.relation.citationendpage91
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.placeMedellín
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.type.engMaster thesisspa
dc.rights.localAcceso abiertospa
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dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.type.localTesis de Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellín
dc.description.degreenameMagíster en Ingeniería de Software
dc.description.degreelevelMaestría
dc.publisher.grantorUniversidad de Medellín


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