A SURVEY ON DATA WAREHOUSE EVOLUTION

 


A SURVEY ON DATA WAREHOUSE EVOLUTION

Wided Oueslati1 and Jalel Akaichi2,1Department of Computer Science, High Institute of Management, Bouchoucha, Tunisia ,2Department of Computer Science, High Institute of Management, Bouchoucha, Tunisia

ABSTRACT

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 an overview and a comparative study between different works related to the DW evolution problem.

KEYWORDS

Schema evolutions, Versioning, View maintenance, View synchronization, Data warehouse evolution.

Full Text: http://airccse.org/journal/ijdms/papers/1110ijdms02.pdf

Volume Link: http://airccse.org/journal/ijdms/curissue10.html

 

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