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ID | AID | PID | Contained Data | To Date Time _________________________________________________ 1 | 123 | 1 | xxxx | NULL 2 | 123 | 2 | 7/21/2015 AM | NULL 3 | 234 | 2 | xyxy | NULL 4 | 123 | 2 | 19/07/2015 | NULL 5 | 123 | 2 | NULL | NULL 6 | 345 | 3 | zzzz | NULL 7 | 123 | 2 | bad Time String | NULL ID | AID | PID | Contained Data | To Date Time _________________________________________________ 1 | 123 | 1 | xxxx | NULL 2 | 123 | 2 | 7/21/2015 AM | 2015-07-21 .000 3 | 234 | 2 | xyxy | NULL 4 | 123 | 2 | 19/07/2015 | 2015-07-19 .000 5 | 123 | 2 | NULL | NULL 6 | 345 | 3 | zzzz | NULL 7 | 123 | 2 | bad Time String | NULL I have been trying a query similar to what is below but it is filling To Date Time with the same values for every row (in the case of my actual data, NULL.) I'm not sure if something similar to this query is the right approach, or if I'm way off.It looks like you have at least two different regional date formats there, possibly USA and Europe? something like this, which uses the language setting to control isdate and convert.

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Consequently, local time is calculated by adding the time zone offset to UTC and adjusting for daylight saving time if necessary.

The value of the Ticks field can be obtained with the structure represents a local time, a Coordinated Universal Time (UTC), or the time in an unspecified time zone.

The Kind field is used when performing time conversions between time zones, but not for time comparisons or arithmetic.

Local time is appropriate for display in user interfaces of desktop applications.

Time zone-aware applications (such as many Web applications) also need to work with a number of other time zones.

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