Time-based patterns are used when data values must be associated in chronological order and with specific time values.
A dimensional physical data model is usually a star schema, meaning there is one structure for each dimension.
Preparation and pre-processing of historical data needed in a predictive model may be performed in nightly batch processes or in near real-time.