Title :
Design ETL Metamodel Based on UML Profile
Author :
Song, Xudong ; Yan, Xiaolan ; Yang, Liguo
Author_Institution :
Software Technol. Inst., Dalian Jiaotong Univ., Dalian, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
Data warehouse plays an important part in the process of decision-making for Enterprise, as a key component of the data warehouse architecture, the tool that support data extraction, transformation, loading(ETL, Extract Transformation Load) is a critical success factor for any data warehouse projects. Traditional methods of ETL development are difficulty to meet the Enterprise decision-making needs. To deal with these problems, we put forward a method of designing the ETL meta-model based on an integrated modeling framework of DW, which takes place of ETL modeling in the special data warehouse, and the design of ETL can be specified in the early stages of a DW project. It achieved the seamless Integration between ETL and data warehouse designed on conceptual level, reduced the development time and cost. Finally, we prove our approach usability and efficiency by practical application of this model.
Keywords :
Unified Modeling Language; data warehouses; decision making; UML profile; data extraction; data loading; data transformation; data warehouse architecture; decision-making; extract transform load database; Costs; Data mining; Data warehouses; Databases; Decision making; Decision support systems; Knowledge acquisition; Object oriented modeling; Standards development; Unified modeling language; Data Warehouse; UML Profile; extraction; loading (ETL); metamodel; transformation;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.112