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Data, context, and interaction (DCI) is a paradigm used in computer software to program systems of communicating objects. Its goals are: Its goals are: To improve the readability of object-oriented code by giving system behavior first-class status;
A data stream management system (DSMS) is a computer software system to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases. A DBMS also offers a flexible query processing so that the information needed can be expressed using queries.
Data locality is a specific type of temporal locality common in signal and media processing applications where data is produced once, read once or twice later in the application, and never read again. Intermediate streams passed between kernels as well as intermediate data within kernel functions can capture this locality directly using the ...
It increases agility by prioritizing data transfer and data computation over static application performance and resilience. Data-centric hardware and software To meet the goals of data-centric computing, data center hardware infrastructure will evolve to address massive scale, rapid growth, the need for very high performance data movement, and ...
Dataflow computing is a software paradigm based on the idea of representing computations as a directed graph, where nodes are computations and data flow along the edges. [1] Dataflow can also be called stream processing or reactive programming. [2] There have been multiple data-flow/stream processing languages of various forms (see Stream ...
Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).
In data management, dynamic data or transactional data is information that is periodically updated, meaning it changes asynchronously over time as new information becomes available. The concept is important in data management, [ citation needed ] since the time scale of the data determines how it is processed and stored.
Persistent data in the field of data processing denotes information that is infrequently accessed and not likely to be modified. [1] Static data is information, for example a record, that does not change and may be intended to be permanent. It may have previously been categorized as persistent or dynamic.