ETL process represents a major part in the process of clinical data warehouse development, where the efficiency of DWH is mainly depending on ETL component and its architecture. In medical field there are a huge clinical data stored in several medical operational systems during receiving medical services. However, extracting of these data are complex, time consuming, and labor intensive task to ensure high data quality before all kinds of data analyses. Moreover, integration of clinical data from various sources is challenges; where these data have been integrate from heterogeneous data sources from multiple health institutions with incompatible structures. Furthermore, heterogeneous clinical data are stored dispersed and isolated from one another. Thus, these clinical data need to be extracted and integrated into the clinical data warehouse through a robust extraction technique. This paper introduces an enhanced ETL technique, which integrate clinical data form heterogeneous data source into staging area.
목차
Abstract 1. Introduction 2. Related Work 3. The Extraction Process Issues 4. Implementationof Extraction Process 5. Discussion 6. Conclusion References
키워드
ETLData WarehouseClinical Data WarehouseData Integration
저자
AbubakerElrazi O. Mohammed [ Department of Computer Science, Shendi University, Sudan ]
Samani A. Talab [ Department of Computer Science, Elnileen University, Sudan ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.8 No.3