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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Main Authors: Camargo-Vega, Juan José, Camargo-Ortega, Jonathan Felipe, Joyanes-Aguilar, Luis
Format: Online
Language:spa
Published: Universidad Pedagógica y Tecnológica de Colombia 2014
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159
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author Camargo-Vega, Juan José
Camargo-Ortega, Jonathan Felipe
Joyanes-Aguilar, Luis
author_facet Camargo-Vega, Juan José
Camargo-Ortega, Jonathan Felipe
Joyanes-Aguilar, Luis
author_sort Camargo-Vega, Juan José
collection OJS
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.
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spelling oai:oai.revistas.uptc.edu.co:article-31592018-11-21T00:53:14Z Knowing the Big Data Conociendo Big Data Camargo-Vega, Juan José Camargo-Ortega, Jonathan Felipe Joyanes-Aguilar, Luis big data Hadoop MapReduce NoSQL data analysis data model Big Data Hadoop MapReduce NoSQL Análisis de datos Modelo de datos 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. 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. Universidad Pedagógica y Tecnológica de Colombia 2014-12-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion review application/pdf text/html https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159 10.19053/01211129.3159 Revista Facultad de Ingeniería; Vol. 24 No. 38 (2015); 63-77 Revista Facultad de Ingeniería; Vol. 24 Núm. 38 (2015); 63-77 2357-5328 0121-1129 spa https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/2851 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159/4346
spellingShingle big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
Camargo-Vega, Juan José
Camargo-Ortega, Jonathan Felipe
Joyanes-Aguilar, Luis
Knowing the Big Data
title Knowing the Big Data
title_alt Conociendo Big Data
title_full Knowing the Big Data
title_fullStr Knowing the Big Data
title_full_unstemmed Knowing the Big Data
title_short Knowing the Big Data
title_sort knowing the big data
topic big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
topic_facet big data
Hadoop
MapReduce
NoSQL
data analysis
data model
Big Data
Hadoop
MapReduce
NoSQL
Análisis de datos
Modelo de datos
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3159
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