인문학
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자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
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AI 아이디어
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AI 뷰어
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.20 No.4
- 발행연도
- 2022.12
- 수록면
- 265 - 272 (8page)
이용수
초록· 키워드
The most effective method to improve information system capabilities is to enable instant access to several relational database sources and transform data with a logical structure into multiple target relational databases. There are numerous data transformation tools available; however, they typically contain fixed procedures that cannot be changed by the user, making it impossible to fulfill the near-real-time data transformation requirements. Furthermore, some tools cannot build object references or alter attribute constraints. There are various situations in which tool changes in data type cause conflicts and difficulties with data quality while transforming between the two systems. The R-programming language was extensively used throughout this study, and several different relational database structures were utilized to complete the proposed study. Experiments showed that the developed study can improve the performance of information systems by interacting with and exchanging data with various relational databases. The study addresses data quality issues, particularly the completeness and integrity dimensions of the data transformation processes.
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목차
- Abstract
- I. INTRODUCTION
- II. RELATED WORK
- III. RESEARCH APPROACH
- IV. MODELLING OF THE DEVELOPED STUDY WITH RDBMS METADATA
- V. MODELLING OF THE DEVELOPED STUDY WITH RDBMS METADATA
- VI. USABILITY TESTING
- VII. CONCLUSIONS
- REFERENCES
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2023-004-000407096
