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Online Analytical Processing System Of The Data For The Institution Of Higher Learning Enrolls New Students

Posted on:2006-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:L ChenFull Text:PDF
GTID:2168360152987169Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Pursue industrialization , that enrollment scale expand year by year today in education, the source of students is fiercer and fiercer in competition , enrolling new students has already become the qualified lifeline of a lot of universities. Popularization which enrolls the work with enrolling new students on the net, informationization of enrolling new students , the form of the data has offered the good environment to such respects as treatment , statistics of data and utilizing effectively ,etc. in unison. Through the job of this text , have introduced such technology as Data Warehouse , OLAP ,etc. in the data of enrolling new students are analyzed and processed, is it analyze to go on to universities admission data, and made some helpful exploration in how to support making decision effectively.This text has carried on research to such technology as the Data Warehouse, On-line analysis processes. at first, and has introduced relevant concepts , system structure and realized the means in detail ; Then the data model carried on research, the Data Warehouse that established the admission data of enrolling new students to the need of analyzing theme design to enrolling, structure it to relevant multidimensional modeling; Then supported by enrollment data in the past 3 years of institute of Suqian, utilize DTS of MS SQL SERVER 2000 , analysis manager servers ,carry out the data to extracting , transforming and loading, structure and enroll the basic situation and professional wish to analyze the multidimensional data collection of the theme separately, offer reference for the decision of enrolling new students in the department after getting together and dealing with and keeping.
Keywords/Search Tags:Data Warehouse, OLAP, enrolls new students of the university, data analysis
PDF Full Text Request
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