Data Integration from Heterogeneous Databases using Improved Tries Structure

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.