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  • 标题:SURVEY ON ETL PROCESSES
  • 本地全文:下载
  • 作者:AHMED KABIRI ; DALILA CHIADMI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:54
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In Data Warehouse (DW) environment, Extraction-Transformation-Loading (ETL) processes constitute the integration layer which aims to pull data from data sources to targets, via a set of transformations. ETL is responsible for the extraction of data, their cleaning, conforming and loading into the target. ETL is a critical layer in DW setting. It is widely recognized that building ETL processes is expensive regarding time, money and effort. It consumes up to 70% of resources. By this work we intend to enrich the field of ETL processes, the backstage of data warehouse, by presenting a survey on these processes. Therefore, in current work, firstly (1) we review open source and commercial ETL tools, along with some ETL prototypes coming from academic world, secondly (2) we review the modeling and design works in ETL field. Also, (3) we approach ETL maintenance issue then (4) we review works in connection with optimization and incremental ETL. Finally, (5) we present and outline challenges and research opportunities around ETL processes.
  • 关键词:ETL; Data warehouse; Data warehouse Population; Data warehouse Refreshment; ETL Modeling; ETL Maintenance
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