shared data set

См. также в других словарях:

• Data sharing — is the practice of making data used for scholarly research available to other investigators. Replication has a long history in science. The motto of The Royal Society is Nullius in verba , translated Take no man s word for it. [1] Many funding… …   Wikipedia

• Data security — is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus data security helps to ensure privacy. It also helps in protecting personal data. Data security is part of the larger practice of… …   Wikipedia

• Data deduplication — In computing, data deduplication is a specialized data compression technique for eliminating coarse grained redundant data. The technique is used to improve storage utilization and can also be applied to network data transfers to reduce the… …   Wikipedia

• Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

• Shared Library — Eine Programmbibliothek bezeichnet in der Programmierung eine Sammlung von Programmfunktionen für zusammengehörende Aufgaben. Bibliotheken sind im Unterschied zu Programmen keine eigenständig lauffähigen Einheiten, sondern Hilfsmodule, die… …   Deutsch Wikipedia

• Shared Object — Eine Programmbibliothek bezeichnet in der Programmierung eine Sammlung von Programmfunktionen für zusammengehörende Aufgaben. Bibliotheken sind im Unterschied zu Programmen keine eigenständig lauffähigen Einheiten, sondern Hilfsmodule, die… …   Deutsch Wikipedia

• Data Source Name — In computing, a data source name (DSN, sometimes known as a database source name though data sources are not limited to databases) are data structures used to describe a connection to a data source. Most commonly used in reference to ODBC, DSNs… …   Wikipedia

• Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …   Wikipedia

• Data parallelism — (also known as loop level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. Data parallelism focuses on distributing the data across different parallel computing nodes. It… …   Wikipedia

• Data Encryption Standard — The Feistel function (F function) of DES General Designers IBM First publis …   Wikipedia

• Data-centric programming language — defines a category of programming languages where the primary function is the management and manipulation of data. A data centric programming language includes built in processing primitives for accessing data stored in sets, tables, lists, and… …   Wikipedia