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Design And Implementation Of Enterprise Visual Data Analysis System Based On Web

Posted on:2018-10-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2348330542450089Subject:Engineering
Abstract/Summary:PDF Full Text Request
In the traditional enterprise,the realization of the characteristics of data analysis is often by the professional institutions of researchers to assist,and mainly to a single database analysis for the technical basis,the extraction of data format is relatively simple,through a simple view template display.Due to the logical algorithm and visualization of the implementation of the technology more limited,resulting in the current business can not meet the highly customized data visualization requirements.The purpose of this paper is to realize a flexible and intelligent data visualization system.The system includes:(1)a built-in database docking method,and defines a data conversion format through which the data of the database can be converted into the system(2)the design of an enterprise running data and data model of the interactive algorithm to meet the system operating data real-time visualization of the display,thus simplifying the previous analysis of massive data complex processing flow;(3)design and To achieve a flexible association analysis of the view,the system can refer to the needs of different data users,the content module can be customized to show a combination,so that business users can be associated with the analysis of internal data,business operations to strengthen the business data mining and analysis The depth,breadth.In the process of designing and implementing enterprise visualization data analysis system,visualization technology was introduced,and the development of HTML5,JSP,and related data calling technology was carried out.At the same time in order to ensure the reliability and stability of the system,the enterprise visualization data analysis system was tested,the test results show that the system has reached the enterprise deployment requirements.
Keywords/Search Tags:Data analysis, Data visualization, Data mining, Data management
PDF Full Text Request
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