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Definición de una arquitectura de referencia para plataformas de servicios de datos
dc.contributor.advisor | Quintero, Juan Bernardo | |
dc.contributor.advisor | Manrique Losada, Bell | |
dc.contributor.author | Gutiérrez Jiménez, Edisson Estelio | |
dc.coverage.spatial | Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | eng |
dc.date | 2021-06-09 | |
dc.date.accessioned | 2021-06-17T14:07:37Z | |
dc.date.available | 2021-06-17T14:07:37Z | |
dc.identifier.other | T 0108 2021 | |
dc.identifier.uri | http://hdl.handle.net/11407/6408 | |
dc.description | Big 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.abstract | Big 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.extent | p. 1-91 | |
dc.format.medium | Electrónico | |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad de Medellín | spa |
dc.publisher | Universidad de Medellín | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0 | * |
dc.subject | Arquitectura | |
dc.subject | Analítica de datos | |
dc.subject | Gobierno de datos | |
dc.title | Definición de una arquitectura de referencia para plataformas de servicios de datos | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.publisher.program | Maestría en Ingeniería de Software | spa |
dc.type.spa | Tesis Maestría | spa |
dc.subject.lemb | Ingeniería de software | spa |
dc.subject.lemb | Minería de datos | spa |
dc.subject.lemb | Procesamiento de datos | spa |
dc.subject.lemb | Servicios de procesamiento de datos | spa |
dc.subject.keyword | Big data | |
dc.subject.keyword | Architecture | |
dc.subject.keyword | Data analytics | |
dc.subject.keyword | Data government | |
dc.relation.citationstartpage | 1 | |
dc.relation.citationendpage | 91 | |
dc.audience | Comunidad Universidad de Medellín | |
dc.publisher.faculty | Facultad de Ingenierías | spa |
dc.publisher.place | Medellín | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | |
dc.type.eng | Master thesis | spa |
dc.rights.local | Acceso abierto | spa |
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dc.rights.creativecommons | Attribution-NonCommercial-ShareAlike 4.0 International | * |
dc.type.local | Tesis de Maestría | |
dc.type.driver | info:eu-repo/semantics/masterThesis | spa |
dc.type.driver | info:eu-repo/semantics/masterThesis | |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | spa |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | |
dc.identifier.instname | instname:Universidad de Medellín | spa |
dc.identifier.instname | instname:Universidad de Medellín | |
dc.description.degreename | Magíster en Ingeniería de Software | |
dc.description.degreelevel | Maestría | |
dc.publisher.grantor | Universidad de Medellín |
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