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The Extraction and Applied Research of Bank Data Based on the Data Warehouse

Author: ZhangLiang
Tutor: ZhouZuoYun
School: Jiangxi Normal University
Course: Computer System Architecture
Keywords: Banking Data Warehouse Online analytical processing Data Mining Data center ETL PivotTable
CLC: TP311.13
Type: Master's thesis
Year: 2008
Downloads: 206
Quote: 4
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Abstract


Bank due to the large amount of data , the diversification of sources of data to build information management system , commercial banks will inevitably encounter how to manage a broad array of data and how to extract useful information . Data warehouse (DW) applications Match with \. Bank performance appraisal system project development and implementation , financial business is increasingly rich range of product types , the processing channel diversification . A lot of basic data need to be collected from the banking system and a variety of other channels to the performance appraisal database , the collection process is very complicated , long development cycle, prone to a variety of abnormalities , the most prominent of which is to build the database versatility is not strong service only for the performance appraisal system . To this end , we are based on bank data centralization , data warehouse technology as the bank massive data extracted achieve data to the Banking Data Warehouse (BDW) data center , and in the data center on the basis of banking various secondary development of application management system , data , statistical analysis and other advanced applications . In this paper, based on the current banking features , on the theme of the Banking Data Warehouse (BDW) conducted a comprehensive analysis . Combination of bank performance evaluation project on the use of the data warehouse , data warehouse theory and technology of build innovative banking data warehouse model . The article explains the data warehouse modeling and design technology , focusing on the analysis of the bank massive data from the original data source to the data warehouse ETL processes ; Analysis Services OLAP applications of the data in the data warehouse subject , and by PivotTable Service Excel presentation of statistical data and information .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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