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A Study of a Detection and Elimination of Data Inconsistency in Data Integration


Dattatray R. Kale, Smita. Y. Aparadh
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Data quality is highly important for running the effective business process. The real world data is spread over the various locations.A collections of these data from the different data sources and presenting the entire collection as a single source is difficult. Data integration involves combining data from numerous dissimilar sources, which are stored using different technologies and present a unified view of the data.Heterogenous and homogenous data is presented at various locations. A big problem in data integration is conflicts occurred into various data sources. Data Inconsistency exists when various and conflicting stories of the same data appear in different places. Data inconsistency shows unreliable information. So in this paper we are presenting the various techniques for finding data inconsistency in data integration.

Dattatray R. Kale, Smita. Y. Aparadh

Data Inconsistency, Data Integration, Data Source Quality.

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-03-05 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
532-535 IJSRSET1621111   Technoscience Academy

Cite This Article

Dattatray R. Kale, Smita. Y. Aparadh , "A Study of a Detection and Elimination of Data Inconsistency in Data Integration", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.532-535, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET1621111.php