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Data Integration from Heterogeneous Databases using Improved Tries Structure

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dc.contributor.author Thant, Phyo Thandar
dc.contributor.author Naing, Thinn Thu
dc.date.accessioned 2019-07-03T03:51:13Z
dc.date.available 2019-07-03T03:51:13Z
dc.date.issued 2014-02-17
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/168
dc.description.abstract Cloud Computing is one of the converging technology trends in Information Technology which can pave the way to optimized computing solution. Several research issues exist in these converging technologies. Among them, data integration from cloud based heterogeneous relational and NoSQL databases is a challenging issue in cloud based data storage. Moreover, it is also needed to handle SQL and NoSQL data in a single application without knowing the user where and which type of database the needed data resides. In this paper, we proposed data integration system from heterogeneous databases using Improved Tries Data Structure technology which makes improvements to Normal Tries space requirements and structure size of tries. As a result, the system can give several advantages such as providing data transparency to the users , eliminating some barriers in bridging the relational and NoSQL databases in cloud data storage. en_US
dc.language.iso en en_US
dc.publisher Twelfth International Conference On Computer Applications (ICCA 2014) en_US
dc.subject NoSQL en_US
dc.subject Tries, Arithmetic Coding en_US
dc.subject Data Integration en_US
dc.subject Cloud Computing en_US
dc.title Data Integration from Heterogeneous Databases using Improved Tries Structure en_US
dc.type Article en_US

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