
En los últimos años los Data Warehouses (DW) en conjunto con OLAP se han constituido en elementos de ayuda en las organizaciones para la toma de decisiones. Con los tipos de almacenamiento de datos ROLAP y MOLAP se pueden crear los DW. El primero almacena los datos sobre una base de datos relacional. El tipo de almacenamiento MOLAP en matrices multidimensionales. En este articulo se presenta un ejemplo comparativo que permite analizar el rendimiento, las ventajas y desventajas entre estos dos tipos de almacenamiento en un sistema de gestión de base de datos (SGBD) especifico. Adicionalmente se ofrece un panorama que permite observar cómo los SGBDs están incorporando hoy en día estas tecnologías dentro de sus principales funcionalidades. Data Warehouses (DWs), supported by OLAP, have played a key role in helping company decision-making du- ring the last few years. DWs can be stored in ROLAP and/or MOLAP data storage systems. Data is stored in a relational database in ROLAP and in multidimensional matrices in MOLAP. This paper presents a comparative example, analysing the performance and advantages and disadvantages of ROLAP and MOLAP in a specific database management system (DBMS). An overview of DBMS is also given to see how these technologies are being incorporated.
MOLAP, OLAP, ROLAP, data warehouse
MOLAP, OLAP, ROLAP, data warehouse
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