Publication: Auditoría de proyectos Big Data, Cloud Computing y Open Data
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2018
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Abstract
En la actualidad, cada vez son más las empresas y gobiernos que están integrando en sus metodologías de trabajo Cloud Computing y tecnologías Big Data por la versatilidad, flexibilidad, agilidad y seguridad que brindan, con la intención de ser más transparentes, competitivas y e caces. Además, la transparencia que demanda la sociedad a las instituciones promueve el uso del Open Data, ya que proporciona un acceso libre a gran cantidad de datos con distintos formatos, para su explotación y uso en diversos ámbitos. Como consecuencia, la cantidad de proyectos que usan estas tecnologías es cada vez mayor, manejándose con más frecuencia grandes volúmenes de datos de carácter personal y otros datos generales de distintas fuentes, almacenados en servidores diversos. A pesar de que existen normas para auditar estas tecnologías aún están en fases iniciales y no presentan la visión global que se requiere en proyectos internacionales.
El objetivo principal de este trabajo es analizar el panorama actual, proporcionando así material para aquellos que busquen una referencia a la hora de migrar sus arquitecturas a la nube, introducirse en la filosofía Open Data, como puede ser el Open Science o Open Government entre muchos otros y aumentar sus posibilidades de negocio con tecnologías Big Data, lo que a día de hoy supone una prioridad de negocio.
Nowadays, more and more companies and governments are integrating in their work methodologies, consumer models such as Cloud Computing and Big Data technologies because they provide versatility, flexibility, agility and security they provide with the intention of being more transparent, competitive and efficient. In addition, movements such as Open Data are increasingly demanded by society in general, as they promote transparency and provide free access to a large amount of data with different formats, for exploitation and use in various fields. As a result, the number of projects using these technologies is increasing, with large volumes of personal data and other general data from different sources being stored on different servers. Although there are standards for auditing these technologies are still in the initial stages and do not present a global vision as it is required by international projects. The main objective of this work is to provide an overview of the current scenario, providing material for those who seek a reference when migrating their architectures to the cloud, to be introduced in the Open Data philosophy, such as Open Science or Open Government among many others and increase its business possibilities with Big Data technologies, which today is a business priority.
Nowadays, more and more companies and governments are integrating in their work methodologies, consumer models such as Cloud Computing and Big Data technologies because they provide versatility, flexibility, agility and security they provide with the intention of being more transparent, competitive and efficient. In addition, movements such as Open Data are increasingly demanded by society in general, as they promote transparency and provide free access to a large amount of data with different formats, for exploitation and use in various fields. As a result, the number of projects using these technologies is increasing, with large volumes of personal data and other general data from different sources being stored on different servers. Although there are standards for auditing these technologies are still in the initial stages and do not present a global vision as it is required by international projects. The main objective of this work is to provide an overview of the current scenario, providing material for those who seek a reference when migrating their architectures to the cloud, to be introduced in the Open Data philosophy, such as Open Science or Open Government among many others and increase its business possibilities with Big Data technologies, which today is a business priority.
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Universidad Complutense, Facultad de Informática, curso 2016/2017