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
Remote Data Services Remote Data Services Remote Data Services (RDS, formerly known as Advanced Data Connector or ADC) is a Microsoft technology used in conjunction with ActiveX Data Objects (ADO) that allowed the retrieval of a set of data from a database server, which the client then altered in some way and then sent back to the server for further processing. With the popular adoption of Transact-SQL, which extends SQL with such programming constructs as loops and conditional statements, this became less necessary and it was eventually deprecated in Microsoft Data Access Components version 2.7. Microsoft produced SOAP Toolkit 2.0, which allows clients