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Time period definitions use two standard table columns as the start and end of a named time period, with closed set-open set semantics. This provides compatibility with existing data models, application code, and tools; Definition of application time period tables (elsewhere called valid time tables), using the PERIOD FOR annotation
The valid-time period is an interval based on event times, which are referred to as event datetime in data vault. [1] [2] Other names are application-time period [1] or real-world timeline. [1] SQL:2011 supports valid time through so-called application time-period tables.
National standard format is yyyy-mm-dd. [161] dd.mm.yyyy format is used in some places where it is required by EU regulations, for example for best-before dates on food [162] and on driver's licenses. d/m format is used casually, when the year is obvious from the context, and for date ranges, e.g. 28-31/8 for 28–31 August.
In date sorting mode, this text needs to be put in a separate column; in the case of a cell containing a range of dates or numbers (e.g. from .. to ..), text in surplus of what is required for sorting is put in the extra column. If the first part of the text is used for sorting, then the extra column needs to be the following one; conversely ...
No description. Template parameters [Edit template data] Parameter Description Type Status Year 1 year The year to render in the date Example 1997 Auto value Number suggested Month 2 month The month to render in the date Example January Auto value String suggested Day 3 day The day of the month to format in the date Example 20 Auto value String suggested Hour (HH) 4 hour hh the hour to format ...
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More specifically the temporal aspects usually include valid time, transaction time and/or decision time. Valid time is the time period during or event time at which a fact is true in the real world. Transaction time is the time at which a fact was recorded in the database. Decision time is the time at which the decision was made about the fact ...
In this case, the source actor is asked to verify that this data is what they would really want to enter, in the light of a suggestion to the contrary. Here, the check step suggests an alternative (e.g., a check of a mailing address returns a different way of formatting that address or suggests a different address altogether).