In any data warehouse date and time plays a vital role in keeping track of when a particular event has taken place. However, we do not store the time information in the same way as we do in the OLTP database. In a dimensional model a separate time dimension is normally used. This time dimension contains separate attributes for year, month, and day and so on. This time dimension is initially populated with the data of a particular period like ten years. Whenever an event/transaction needs to be recorded in the fact table the time key from this dimension for the corresponding time is obtained from the time dimension.
Surrogate key for time dimension is auto incremented just like any other dimension but it is always helpful to have it the right format like for date: 05-Mar-2010 the time key should be 05032010. This proves to be extremely useful as queries can be done directly based on the time key and thus improves performance.
The following figures show how to create and populate time dimension in Sql Server Analysis Services (SSAS):
11 comments:
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Informative article:)
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instead of creating the date key as a typical surrogate auto incremented number, try creating the key as an integer something like this: 20110805 etc. that will help when partitioning a table
I agree with time format.
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