Application of Multidimensional Databases of Rainfall and Low Pressure Systems on OLAP-Based Model

Authors:
Kavita Pabreja
Affiliations:
-
Venue:
ICCMS '10 Proceedings of the 2010 Second International Conference on Computer Modeling and Simulation - Volume 04
Year:
2010

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Cited 1

A data warehousing and data mining approach for analysis and forecast of cloudburst events using OLAP-based data hypercube

International Journal of Data Analysis Techniques and Strategies

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Abstract

The Multidimensional data model has emerged during the last decade for facilitating the analysis of huge datasets to help in decision-making. This data model can be effectively utilized for analyzing meteorological datasets that are too huge and detailed. In this paper, the technology of dimension modeling has been made use of for analyzing Rainfall and Low Pressure system datasets for the years 1984-2003 using Microsoft SQL Server Business Intelligence Development Studio - OLAP technique.