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
FCC Computer Inquiries or message switching and data processing." This division by the Commission were either called "pure communications" or "pure data processing." If a message is sent from one location to another and it does not change the FCC defined it as Pure Communication. On the other hand, if a changes or processing happen at the end of phone line the FCC defined it as Pure Data Processing. In pure data processing the computer processes the information and determines if it is a circuit or message-switching. Also, in pure data processing the computer processes the information by using storing, retrieving, sorting, merging