{"title":"降雨与低压系统多维数据库在olap模型中的应用","authors":"Kavita Pabreja","doi":"10.1109/ICCMS.2010.228","DOIUrl":null,"url":null,"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.","PeriodicalId":153175,"journal":{"name":"2010 Second International Conference on Computer Modeling and Simulation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of Multidimensional Databases of Rainfall and Low Pressure Systems on OLAP-Based Model\",\"authors\":\"Kavita Pabreja\",\"doi\":\"10.1109/ICCMS.2010.228\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":153175,\"journal\":{\"name\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMS.2010.228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMS.2010.228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
多维数据模型在过去十年中出现，用于促进对庞大数据集的分析，以帮助决策。该数据模型可以有效地用于分析过于庞大和详细的气象数据集。本文利用Microsoft SQL Server Business Intelligence Development Studio - OLAP技术，利用维数建模技术对1984-2003年降水和低压系统数据集进行了分析。
Application of Multidimensional Databases of Rainfall and Low Pressure Systems on OLAP-Based Model
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.
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