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Dynamic data

Index Dynamic data

In data management, the time scale of the data determines how it is processed and stored. [1]

9 relations: Asynchrony (computer programming), Data management, Enterprise data management, Orders of magnitude (time), Persistent data, Schematic, Streaming media, Transaction data, Transaction processing.

Asynchrony (computer programming)

Asynchrony, in computer programming, refers to the occurrence of events independent of the main program flow and ways to deal with such events.

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Data management

Data management comprises all disciplines related to managing data as a valuable resource.

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Enterprise data management

Enterprise Data Management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication.

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Orders of magnitude (time)

An order of magnitude of time is (usually) a decimal prefix or decimal order-of-magnitude quantity together with a base unit of time, like a microsecond or a million years.

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Persistent data

Persistent data in the field of data processing denotes information that is infrequently accessed and not likely to be modified.

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Schematic

A schematic, or schematic diagram, is a representation of the elements of a system using abstract, graphic symbols rather than realistic pictures.

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Streaming media

Streaming media is multimedia that is constantly received by and presented to an end-user while being delivered by a provider.

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Transaction data

Transaction data is data describing an event (the change as a result of a transaction) and is usually described with verbs.

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Transaction processing

Transaction processing is information processing in computer science that is divided into individual, indivisible operations called transactions.

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Redirects here:

Transactional data.

References

[1] https://en.wikipedia.org/wiki/Dynamic_data

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