Data-intensive computing this approach is considered suitable for data-intensive computing and problems which are “embarrassingly parallel”, i.e. where it is relatively easy to separate the problem into a number of parallel tasks and there is no dependency or communication required between the tasks other than overall management of the tasks. These types of data processing problems are inherently adaptable to various forms of distributed computing including clusters, data grids, and cloud computing. Several common characteristics of data-intensive computing systems distinguish them from other forms of computing: A variety of system architectures have been implemented for data-intensive computing and large-scale data analysis applications
RDM Server It was derived from its predecessor Raima Database Manager, and subsequently renamed Velocis. The database is currently known by the name RDM Server, and is currently offered as version 8.4. RDM Server is a client/server database engine with an optional configuration to execute the engine in-process with the application. When in a client/server configuration, clients perform remote procedure calls (RPC) to a server on the same computer or a computer that is visible across a network. Data is converted from the native server host's format to the native client host's format when in heterogeneous environments. Since its first release in