Distributed query processing and data sharing

Data privacy is becoming an increasing concern in industries where huge data repositories are dealt with. Most of them need to share private data across distinct organizations. In this paper, we propose a modification to an existing framework wherein data sharing across distributed databases is handled without compromising the sensitive nature of information. This paper focuses on replacing an inner join with semi-join reducer technique in one of the distributed sites of an existing query execution model. We will demonstrate how transmitting redundant data can be eliminated deploying a reducer technique which ultimately results in minimization of communication cost.