Knowing the Big Data

Given the importance acquired by the term Big Data, the present investigation aims to study and analyze thoroughly the Big Data state of art. Moreover, a second objective is to study the features, tools, technologies, models and standards related to Big Data. And finally it seeks to identify the mos...

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Autores:
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14107
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159
https://repositorio.uptc.edu.co/handle/001/14107
Palabra clave:
big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
Rights
License
http://purl.org/coar/access_right/c_abf78
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spelling 2014-12-282024-07-05T19:11:19Z2024-07-05T19:11:19Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/315910.19053/01211129.3159https://repositorio.uptc.edu.co/handle/001/14107Given the importance acquired by the term Big Data, the present investigation aims to study and analyze thoroughly the Big Data state of art. Moreover, a second objective is to study the features, tools, technologies, models and standards related to Big Data. And finally it seeks to identify the most relevant features that manage Big Data, so it can be known everything about the focus of the investigation.Regarding the methodology used in the development of the research, included to review the state of the art of Big Data, and show what is its current situation, to know the Big Data technologies, to present some of the NoSQL databases, which are those that allow to process unstructured data formats. Also display data models and the analysis technologies they offer, to end with some benefits from Big Data.The methodology desing used in this investigation, was not experimental, because no variables are manipulated, neither exploratory ones, because with the present investigation, only begins to know the Big Data evirioment.Teniendo en cuenta la importancia que ha adquirido el término Big Data, la presente investigación buscó estudiar y analizar de manera exhaustiva el estado del arte del Big Data, además, y como segundo objetivo, analizó las características, las herramientas, las tecnologías, los modelos y los estándares relacionados con Big Data, y por último buscó identificar las características más relevantes en la gestión de Big Data, para que con ello se pueda conocer todo lo concerniente al tema central de la investigación.La metodología utilizada incluyó revisar el estado del arte de Big Data y enseñar su situación actual, conocer las tecnologías de Big Data, presentar algunas de las bases de datos NoSQL, que son las que permiten procesar datos con formatos no estructurados, y mostrar los modelos de datos y las tecnologías de análisis de ellos, para terminar con algunos beneficios de Big Data.El diseño metodológico usado para la investigación fue no experimental, pues no se manipulan variables, y de tipo exploratorio, debido a que con esta investigación se empieza a conocer el ambiente del Big Data.application/pdftext/htmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/2851https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/4346Revista Facultad de Ingeniería; Vol. 24 No. 38 (2015); 63-77Revista Facultad de Ingeniería; Vol. 24 Núm. 38 (2015); 63-772357-53280121-1129big dataHadoopMapReduceNoSQLdata analysisdata modelBig DataHadoopMapReduceNoSQLAnálisis de datosModelo de datosKnowing the Big DataConociendo Big Datareviewinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a161http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/access_right/c_abf78http://purl.org/coar/access_right/c_abf2Camargo-Vega, Juan JoséCamargo-Ortega, Jonathan FelipeJoyanes-Aguilar, Luis001/14107oai:repositorio.uptc.edu.co:001/141072025-07-18 11:53:14.463metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Knowing the Big Data
dc.title.es-ES.fl_str_mv Conociendo Big Data
title Knowing the Big Data
spellingShingle Knowing the Big Data
big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
title_short Knowing the Big Data
title_full Knowing the Big Data
title_fullStr Knowing the Big Data
title_full_unstemmed Knowing the Big Data
title_sort Knowing the Big Data
dc.subject.en-US.fl_str_mv big data
Hadoop
MapReduce
NoSQL
data analysis
data model
topic big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
dc.subject.es-ES.fl_str_mv Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
description Given the importance acquired by the term Big Data, the present investigation aims to study and analyze thoroughly the Big Data state of art. Moreover, a second objective is to study the features, tools, technologies, models and standards related to Big Data. And finally it seeks to identify the most relevant features that manage Big Data, so it can be known everything about the focus of the investigation.Regarding the methodology used in the development of the research, included to review the state of the art of Big Data, and show what is its current situation, to know the Big Data technologies, to present some of the NoSQL databases, which are those that allow to process unstructured data formats. Also display data models and the analysis technologies they offer, to end with some benefits from Big Data.The methodology desing used in this investigation, was not experimental, because no variables are manipulated, neither exploratory ones, because with the present investigation, only begins to know the Big Data evirioment.
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:11:19Z
dc.date.available.none.fl_str_mv 2024-07-05T19:11:19Z
dc.date.none.fl_str_mv 2014-12-28
dc.type.en-US.fl_str_mv review
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a161
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159
10.19053/01211129.3159
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14107
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159
https://repositorio.uptc.edu.co/handle/001/14107
identifier_str_mv 10.19053/01211129.3159
dc.language.none.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/2851
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/4346
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf78
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf78
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 24 No. 38 (2015); 63-77
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 24 Núm. 38 (2015); 63-77
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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