Tracing Data Provenance Based on Inverse Mechanism in ETL

Tao Wang () and Chao-fan Dai ()
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Tao Wang: National University of Defense Technology
Chao-fan Dai: National University of Defense Technology

A chapter in 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 2013, pp 553-561 from Springer

Abstract: Abstract Data integration may have no meaning without data provenance. ETL is an important step of data integration. To trace the provenance of ETL process is significant for data integration. A method based on inverse functions is described in this paper. Firstly, the ETL process is divided into three layers; then we analyzed each layer and designed the inverse mechanism, and described the algorithms of provenance tracing based on this. At last, we take an instance to show the result.

Keywords: Data provenance; Inverse functions (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34910-2_65

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DOI: 10.1007/978-3-642-34910-2_65

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