ScholarLens Back to search
2004•Jisuanji gongchengRequires access

Overview on ETL Technology

Qingbao Liu

Open publisher page 5 citations

Abstract

This paper introduces the importance of extract, transform and load (ETL) in the process of building data warehouse, analyses the process of ETL and cuts a full life cycle ETL process into five stages: source verification, source alteration, common interchange, target load determination and aggregation. Finally, it analyses the ETL productions and their function characteristics, and forecastes the future of function trends.

About this research paper

What this paper is about

This paper introduces the importance of extract, transform and load (ETL) in the process of building data warehouse, analyses the process of ETL and cuts a full life cycle ETL process into five stages: source verification, source alteration, common interchange, target load determination and aggregation. Finally, it analyses the ETL productions and their function characteristics, and forecastes the future of function trends.

Why it matters

OpenAlex reports 5 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

This paper introduces the importance of extract, transform and load (ETL) in the process of building data warehouse, analyses the process of ETL and cuts a full life cycle ETL process into five stages: source verification, source alteration, common interchange, target load determination and aggregation. Finally, it analyses the ETL productions and their function characteristics, and forecastes the future of function trends.

Key concepts: Computer science, Data warehouse, Function (biology), Process (computing), Database, Data mining, Operating system, Biology

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Overview on ETL Technology — Research Paper | ScholarLens