Solving Scheduling Problem in Data Ware House Using OLAP and OLAP

Himanshi Kataria, A. Garg
{"title":"Solving Scheduling Problem in Data Ware House Using OLAP and OLAP","authors":"Himanshi Kataria, A. Garg","doi":"10.18535/IJSRE/V4I08.16","DOIUrl":null,"url":null,"abstract":"Data in the warehouse and data marts is stored and managed by one or more warehouse servers, which present multidimensional views of data to a variety of front end tools: query tools, report writers, analysis tools, and data mining tools. Finally, there is a repository for storing and managing metadata, and tools for monitoring and administering the warehousing system.  An operational database undergoes frequent changes on a daily basis on account of transactions that taken area. Think a business management wants to analyze previous feedback on any data such as a product, a supplier, or any consumer data, then executive will had no data available to analyze because  previous data has been updated due to transactions. A data warehouse helps business executives to organize, analyze, & use their data for decision making. A data warehouse serves as a sole part of a plan-execute-assess \"closed-loop\" feedback system for  enterprise management. Data warehouses are widely used in  following fields: Financial services. Banking services. Consumer goods. Retail sectors. Controlled manufacturing.","PeriodicalId":14282,"journal":{"name":"International Journal of Scientific Research in Education","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Research in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18535/IJSRE/V4I08.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Data in the warehouse and data marts is stored and managed by one or more warehouse servers, which present multidimensional views of data to a variety of front end tools: query tools, report writers, analysis tools, and data mining tools. Finally, there is a repository for storing and managing metadata, and tools for monitoring and administering the warehousing system.  An operational database undergoes frequent changes on a daily basis on account of transactions that taken area. Think a business management wants to analyze previous feedback on any data such as a product, a supplier, or any consumer data, then executive will had no data available to analyze because  previous data has been updated due to transactions. A data warehouse helps business executives to organize, analyze, & use their data for decision making. A data warehouse serves as a sole part of a plan-execute-assess "closed-loop" feedback system for  enterprise management. Data warehouses are widely used in  following fields: Financial services. Banking services. Consumer goods. Retail sectors. Controlled manufacturing.
用OLAP和OLAP解决数据仓库中的调度问题
仓库和数据集市中的数据由一个或多个仓库服务器存储和管理,这些服务器将数据的多维视图呈现给各种前端工具:查询工具、报表编写器、分析工具和数据挖掘工具。最后,还有一个用于存储和管理元数据的存储库,以及用于监视和管理仓储系统的工具。业务数据库由于所发生的事务每天都要进行频繁的更改。假设业务管理人员想要分析任何数据(如产品、供应商或任何消费者数据)的先前反馈,那么执行人员将没有可用的数据来分析,因为先前的数据已经由于事务而更新。数据仓库帮助业务主管组织、分析和使用他们的数据进行决策。数据仓库是企业管理计划-执行-评估“闭环”反馈系统的唯一组成部分。数据仓库广泛应用于以下领域:金融服务。银行服务。消费品。零售行业。生产控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信