Big Data: Estado de la cuestión
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Abstract
Con el término Big Data se hace referencia normalmente a las colecciones de conjuntos
de datos tan grandes y complejos que son muy difíciles de procesar con las herramientas que cono- cemos usadas por las aplicaciones en las bases de datos tradicionales. Este nuevo estado de cosas
constituye un enorme desafío que incluye la captura,conservación, almacenamiento, búsqueda, intercambio, transferencia, análisis y visualización de los datos. Los conjuntos de datos a que hacemos referencias están en constante crecimiento dado que las
fuentes de las que emanan crecen en número cada día y además la velocidad de comunicación y
capacidad de almacenamiento de las nuevas tecnologías cada vez es más alta. Ya no se habla de
conjuntos de datos cuyo volumen viene expresado en Gigas o Terabytes sino más bien en Peta, Exa, o Zettabytes de datos. Dado que Big Data indica grandes volúmenes a grandes velocidades, de datos muy variados es obvio
que se necesitan nuevas formas de procesamiento a fin de que la información o conocimiento extra- ído pueda ser utilizado para una buena toma de decisiones. En las páginas que siguen a continuación se intenta describir someramente cual es la situación pre- sente de este reciente e interesante fenómeno que se ha dado en llamar “Big Data” o grandes datos
The term Big Data generally refers to collections of sets of data so large and complex that are difficult to process with tools we know that the traditional database applications use. This new situation constitutes a huge challenge involving the capture, preservation, storage, search, exchange, transfer, analysis and visualization of data. The data sets referenced are constantly growing becauseof the sources from which they emanate grown in number every day and also because the speed of the new communication and storagetech- nologies is becoming increasingly high. We no longer speaks of datasets whose volume is expressed in gigabytes or terabytes but rather Peta, Exa, or Zettabytes data. As Big Data indicates large volumes and high speeds communicationof diverse data, is obvious we need new ways and toolsto processing data in order that information or knowledge extracted can be used for good decision-making. In the following pages we tray to describe briefly what is the present situation of this interesting phe- nomenon called "Big Data".
The term Big Data generally refers to collections of sets of data so large and complex that are difficult to process with tools we know that the traditional database applications use. This new situation constitutes a huge challenge involving the capture, preservation, storage, search, exchange, transfer, analysis and visualization of data. The data sets referenced are constantly growing becauseof the sources from which they emanate grown in number every day and also because the speed of the new communication and storagetech- nologies is becoming increasingly high. We no longer speaks of datasets whose volume is expressed in gigabytes or terabytes but rather Peta, Exa, or Zettabytes data. As Big Data indicates large volumes and high speeds communicationof diverse data, is obvious we need new ways and toolsto processing data in order that information or knowledge extracted can be used for good decision-making. In the following pages we tray to describe briefly what is the present situation of this interesting phe- nomenon called "Big Data".







