Model for Heterogeneous Data Integration on Cloud

In today's scenario when snore and more enterprises are shifting towards cloud computing, the variety volume and velocity of the cloud is expected to cope up to the expectations. Although big data centers and latest technologies have handled huge volumes of data but still the problem of integrating heterogeneous data on the cloud persists. This paper proposes a model for integrating heterogeneous data on the cloud focusing on the security of data at rest. The model is based on service oriented computing, as services are based on fundamental pastures of interoperability and loose coupling. The different layers of the proposed model deal with different aspects of data interpretation on cloud. The client layer provides interface to the client and works on basic request and response parameters. The service inventory layer comprises of different services working on integration and encryption of data and the cloud data layer holds the actual data in uniform format. The paper aims to provide a solution to the heterogeneous data integration problem on cloud and data security at rest.