The data warehouse (DW) technology was developed to integrate heterogeneous information sources for analysis purposes. Information sources are more and more autonomous and they often change their content due to perpetual transactions (data changes) and may change their structure due to continual users' requirements evolving (schema changes). Handling properly all type of changes is a must. In fact, the DW which is considered as the core component of the modern decision support systems has to be update according to different type of evolution of information sources to reflect the real world subject to analysis. . The goal of this paper is to propose a solution, based on versioning approach, able to handle structure changes in order to keep track of the DW evolution.
목차
Abstract 1. Introduction 2. Related Works 3. Preliminaries 4. Multiversion TDW 5. Running Example 5.1. Identification of Schema Changes and their Impacts 6. MVTDW Prototype 7. Conclusion and Future Works References
키워드
Schema evolutionsVersioningalternative versionreal versionand trajectory data warehouse evolution.
저자
Wided Oueslati [ Higher Institute of Management of Tunisia ]
Jalel Akaichi [ Higher Institute of Management of Tunisia ]
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.4 no.2