Vol. 5 No. 1 (2006): Revista UIS Ingenierías
Articles

Window of data and olap in unicauca virtual

Martha Mendoza
Universidad del Cauca
Bio
Carlos Cobos
Universidad del Cauca
Bio
Jaime Muñoz
Universidad del Cauca
Bio
Lisandro Acosta
Universidad del Cauca
Bio
Luis Carlos Gomez Florez
Universidad Industrial de Santander
Bio

Published 2006-06-13

Keywords

  • Dimensional Modeling,
  • Data Warehouse,
  • Online Analytical Processing (OLAP),
  • Life Cycle,
  • Star Schema

How to Cite

Mendoza, M., Cobos, C., Muñoz, J., Acosta, L., & Gomez Florez, L. C. (2006). Window of data and olap in unicauca virtual. Revista UIS Ingenierías, 5(1). Retrieved from https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/1771

Abstract

The analysis of information has become one of the most important processes in major enterprises which manage a high number of customers. These Enterprises have found in the information generated by its own systems, valuable knowledge that might help to improve inner processes, customer relationship, competitiveness, cost cutting and revenue increase, etc. However, not only the major enterprises with industrial process and great quantity of customer, find the analysis of information; useful there are successful cases this kind of technology in other areas like transport, health, biology, chemistry, genetic, and education. This is why University of Cauca, sponsored by The Information Technology Group and Colciencias, has begun a project that implements a Decision Support System (DSS), that let directives and teachers of Unicauca Virtual, use the data warehouse potentiality and OLAP technologies to analyze information generated between students and the Learning Management System (LMS) of Unicauca Virtual. This article, present the development processes of this project emphasizing in modeling and construction of the data warehouse in the Oracle 10g Release2 database engine.

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References

C. J. Date, Introducción a los Sistemas de Bases de Datos, Apoyo para la toma de decisiones, 21 (México:
Pearson Education, 200!, 694 - 724).

W. H. Inmon. Building the Data Warehouse. (United States ofAmerica: Wiley Computer Publishing, 1996).

R. KimbaJl, L. Reeves, M. Ross, W. Thomthwaite, The Data Warehouse Lifecyele Toolkit. (United States of
America: Wiley Computer Publishing, 1998).

S. L. Mora, J. Trujillo. Un método global basado en UML para el diseño de Almacenes de Datos. Actas de
las VUI Jornadas de Ingeniería de Software y Bases de Datos. 2003. 539- 549.

R. Kimball, M. Ross. The Data Warehouse Toolkit. The Complete Guide to Dimensional Modeling. Wiley
Compnter Publishing. 2002.

G. Dodge, T. Gorman, Essential Oracle8i Data Warehousing, Analytical Processing in the Oraele Data
Warehouse, 13 (United States of America: Wiley ComputerPublishing, 2000, 809 - 812).

Ikeydata, (Visitado 2005, Marzo 03). Información relacionada con conceptos de OLAP, ROLAP y
MOLAP. [Documento WWW]. URL http://www.Ikeydata.com/datawarehousing/datawarehouse.html.

S. Alison, K. Nayar, M. Bird, J. Stein, Oraele Warehouse Builder User's Guide IOg Release I (l0.1), 2003, 2 - 28.

D. T. Chang, (Visitado 2004, Noviembre 10). Common Warehouse MetamodeI specification. [Documento
WWW]. URLhttp://www.omg.orgl.com.

H. H. Eriksen, (Visitada 2005, Octubre 09). Oracle OLAP Forum. [Documento WWW]. URL http://forums.oracle.com/forums/thread.jspa?messageID=1085783&#1 085783

Oracle Corporation. Oracle OLAP DML Reference 1Og Release 2 (10.2),2005,5 - 21.

Jedox. (Visitada 2006, Marzo 21). PALO - Open Source MOLAP. [Documento WWWJ. URL http://
www.jedox.com/show. php?index=content/Open%20Sonrce%20-%20PaJo.07.

Pentabo. (Vísitada2006, Marzo 21). Mondrian OLAP [Docnmento WWW]. URL http://rnondrian.sourceforge.net.

Tensegrity Software. (Visitada 2006, Marzo 21). PALOEelipseClient. [Documento WWW].URLhttp:/
Iwww.tensegrity-software.com/jpaJo.html.