Browse > Article
http://dx.doi.org/10.7236/IJASC.2021.10.2.187

A Design of the Improved Data Conversion Process for System Upgrade Project  

Kim, Hee Wan (Division of Computer Science & Engineering, Sahmyook Univ.)
Publication Information
International journal of advanced smart convergence / v.10, no.2, 2021 , pp. 187-193 More about this Journal
Abstract
Data conversion refers to the process of extracting the data existing in the existing system, that is, the past data accumulated by the old information system or other methods and transferring it to the improved table of the new system. The person in charge of data conversion refers to the entire process of converting to the final destination table according to the rules designed/planned in advance. In most cases, data conversion design should be consider when the old system replace or the data of another existing system is converted and applied to a newly constructed information system. The goal of data conversion is to understand the current database system of operating environment, understand the characteristics of the DBMS in use, maintain the optimal database structure, and make the new system perform at its best. Data conversion methods are largely divide into a method using a tool and a conversion method using a program preparation. In this paper, we examine the advantages and disadvantages of the data conversion method, and try to derive the problems of the existing data conversion method. Based on this, an improved data conversion method for the system upgrade project was proposed, and verified through a questionnaire of an IT expert to prove its effectiveness
Keywords
data conversion; information system; data conversion method; database system; system upgrade project;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Shin, S.H.(2014), Design and consistency verification of science and technology information content data migration model, Korea Institute of Science and Technology Information
2 Encore, Migration procedure and method for data integration, Korea Database Agency, 2009
3 Korea Database Agency, Data Industry White Paper, Seoul: Korea Database Agency, 2017
4 National Information Society Agency, CBD SW Development Standard Output Management Guide, Seoul: National Information Society Agency, 2011
5 Ministry of National Defense, Defense CBD Methodology V2.0 User Guide Volume 2, Ministry of National Defense, 2010
6 Korean Intellectual Property Office, Korean Intellectual Property Office Software Development Methodology, Seoul: Korean Intellectual Property Office, 2014
7 J. K. Nho, The role of DA for a successful build the next generation of systems, Encore, 2014 http://www.dator.co.kr/encore/textyle/1542745
8 C.H. Jung, Way to the SI Projects Experts, Youngjin.com, 2010
9 Korea Database Agency, Data Industry Status Survey Results Report, Seoul: Korea Database Agency, 2015
10 Data Streams, Data migration, data migration issues, http://datastreams.co.kr/consulting-service/data-migration/