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Data Warehouse Back-End Tools
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Author(s): Alkis Simitsis (National Technical University of Athens, Greece)and Dimitri Theodoratos (New Jersey Institute of Technology, USA)
Copyright: 2009
Pages: 8
Source title:
Encyclopedia of Data Warehousing and Mining, Second Edition
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-60566-010-3.ch090
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Abstract
The back-end tools of a data warehouse are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse. In general, these tools are known as Extract – Transformation – Load (ETL) tools and the process that describes the population of a data warehouse from its sources is called ETL process. In all the phases of an ETL process (extraction and transportation, transformation and cleaning, and loading), individual issues arise, and, along with the problems and constraints that concern the overall ETL process, make its lifecycle a very complex task.
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