2009Unpublished venueRequires access

Design ETL Metamodel Based on UML Profile

Xudong Song, Xiaolan Yan, Liguo Yang

Open publisher page 10 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Data warehouse, Metamodeling, Computer science, Unified Modeling Language, Database, Usability, Data modeling, Model-driven architecture

Related papers

Back to paper searchBrowse research topicsOriginal source
Design ETL Metamodel Based on UML Profile — Research Paper | ScholarLens