Topic summary

Dynamic data

Dynamic data

Dynamic data or transactional data is a concept and practice in data management. It 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. Data that is not dynamic is considered either static (unchanging) or persistent, which is data that is infrequently accessed and not likely to be modified. Dynamic data is also different from streaming data, which is a constant flow of information. Dynamic data may be updated at any time, with periods of inactivity in between. Examples In enterprise data management, dynamic data is likely to be transactional, but it is not limited to financial or business transactions. It may also include engineering transactions, such as a revised schematic diagram or architectural document. In this context static data is either unchanged or so rarely changed that it can be stored remotely ("basement" or far) storage, whereas dynamic data is reused or changed frequently and therefore requires online ("office" or near) storage. An original copy of a wiring