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
ArcGIS Server for government transparency, online tracking of weather events, resource movement, or visualizing change over time, sharing of scientific research and modeling, management and delivery of remote sensing data, collaborative mapping and user-generated content applications, as well as managing data collection projects using mobile devices and global positioning system (GPS) and supporting mobile data intelligence. ArcGIS Server is available for the Microsoft Windows .NET Framework and the Java Platform. ArcGIS Server ships in three functional editions, Basic, Standard, and Advanced, with the Advanced edition providing the most functionality. ArcGIS Server Basic edition is used primarily to manage multiuser geodatabases and geodata