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Presented in this paper is a possible solution for speeding up the integration of various data in the big data mainstream. The data enrichment and convergence of all possible sources is still at the beginning. As a result, existing techniques must be retooled in order to increase the integration of already existing databases or of the ones specific to Internet of Things in order to use the advantages of the big data to fulfill the final goal of web of data creation. In this paper, semantic web-specific solutions are used to design a system based on intelligent agents. It tries to solve some problems specific to automation of the database migration system with the final goal of creating a common ontology over various data repositories or producers in order to integrate them into systems based on big data architecture.

Cloud computing is internet based network diagram that represent internet, or various parts of it, as schematic clouds. The term, characteristics and services associated with internet based computing is called cloud computing. Characteristics means infrastructures, provisioning, network access and managed metering. The primary business associated model which is employed in software, platform and infrastructure as a service and common deployment model which is deployed by service providers and users to use and maintain the cloud services like private, public, community and hybrid clouds are discussed in this papers. In this paper cloud computing refers to different types of services and applications being delivered in the internet cloud but the fact is, in many cases the devices use to access such services and applications do not require any special applications. That is cloud computing is everywhere. Cloud computing also promise to cut operational and capital costs.