Análisis de aplicabilidad de bases de datos tipo GRAFOS en comparación a las tradicionales SQL
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Fecha
2021
Autores
Madrid, Julio Edgar
Sulbaran Soto, Valentina
Vargas Contreras, Edwin
Zabala Roqueme, Carlos
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Editor
Ediciones Universidad Simón Bolívar
Facultad de Ingenierías
Facultad de Ingenierías
Resumen
El presente documento es un análisis sobre el estudio de la aplicabilidad de las bases de datos NOSQL principalmente las orientadas a grafo en el análisis de Big Data y todas las opciones que estas herramientas ofrecen para abarcar la mayor cantidad de datos posibles, algo que con las bases de datos tradicionales como las relacionales no alcanzan a cubrir a gran escala, debido a las limitantes que estas tienen.
Se buscará abarcar desde lo teórico, dando definiciones de estos modelos de bases de datos y las principales herramientas que existen hoy en día en el mercado, comparándolas entre ellas y eligiendo la que más se adapta a las necesidades que se nos presente, así mismo como algunos ejemplos en el campo profesional donde se aplican las bases de datos orientadas a grafos para obtener una visión y alcance que estas ofrecen.
Entendemos que el campo del big data, machine learning y todas estas corrientes que surgen hoy en día para la interpretación de grandes volúmenes de información, es algo que está en auge y resulta de mucha utilidad para el desarrollo y el avance tecnológico de nuestra sociedad, con lo cual en este proyecto se buscará explorar en las grandes ventajas que estas tecnologías nos ofrecen.
This document is an analysis of the study of the applicability of NOSQL databases, mainly those oriented to graphs in the analysis of Big Data and all the options that these tools offer to cover as much data as possible, something that with the Traditional databases such as relational ones are not enough to cover on a large scale, due to their limitations. It will seek to cover from the theoretical, giving definitions of these database models and the main tools that exist today in the market, comparing them between them and choosing the one that best suits the needs that are presented to us, as well as some examples in the professional field where graph-oriented databases are applied to obtain a vision and scope that they offer. We understand that the field of big data, machine learning and all these currents that arise today for the interpretation of large volumes of information, is something that is on the rise and is very useful for the development and technological advance of our society, with which this project will seek to explore the great advantages that these technologies offer us.
This document is an analysis of the study of the applicability of NOSQL databases, mainly those oriented to graphs in the analysis of Big Data and all the options that these tools offer to cover as much data as possible, something that with the Traditional databases such as relational ones are not enough to cover on a large scale, due to their limitations. It will seek to cover from the theoretical, giving definitions of these database models and the main tools that exist today in the market, comparing them between them and choosing the one that best suits the needs that are presented to us, as well as some examples in the professional field where graph-oriented databases are applied to obtain a vision and scope that they offer. We understand that the field of big data, machine learning and all these currents that arise today for the interpretation of large volumes of information, is something that is on the rise and is very useful for the development and technological advance of our society, with which this project will seek to explore the great advantages that these technologies offer us.
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Palabras clave
Analítica de Big Data, No-sql, Graph Database, Migración de datos, Big data analytics, Data migration
