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Application And Research Of Data Warehousing In E-Market

Posted on:2006-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2178360155467381Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Nowadays, with the rapid growth of information, the competition between enterprises is becoming more and more vehement, and only those who spare no efforts in technology innovation and forecast and respond to the demand tendency of the customers quickly and properly may win the battle. As is so often pointed out, Data Warehousing and On-line Analytical Processing(OLAP)technology are of great importance in the analysis of huge amount of data. Technology and, information are now shared fully through web, and adding increment to traditional business has now become the trend of the development of information technology. The application of Data Warehousing based on the Web is brought forward because as much information and technology application as possible are needed in the Data Warehouse System (DWS) design. Data Warehouse System based on the Web combines two kinds of hot technologies today, i.e. Web technology and Data Warehousing technology, and therefore, it has its own particular merits and potential application demands, therefore, more and more enterprises are making great efforts in the application of these technologies. Focusing on this new field, this paper is to study the construction of DWS in the Internet environment. The paper mainly discussed the main concepts, important characteristics and key techniques during the process of the development of DWS and OLAP, and provides concrete steps in implementing the design and construction of DWS and the application of OLAP based on DWS in the Web environment. Including the design of conceptual module, logical module and physical module; metadata management and indexing technology of DWS, the design and implementation ETL module of DWS, and multi-dimensional analysis and management based on the Web.
Keywords/Search Tags:Data Warehousing, ETL, OLAP, Multi-Cube
PDF Full Text Request
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