July 2010
Intermediate to advanced
840 pages
16h 33m
English
The rest of this chapter is based on material taken from a five-part series by Richard T. Snodgrass in Database Programming and Design (vol. 11, issues 6-10) in 1998. He is one of the experts in this field, and I hope my editing of his material preserves his expertise.
Temporal data is pervasive. It has been estimated that one of every fifty lines of database application code involves a date or time value. Data warehouses are by definition time-varying; Ralph Kimball states that every data warehouse has a time dimension. Often the time-oriented nature of the data is what lends it value.
DBAs and SQL programmers constantly wrestle with the vagaries of such data. They find that ...
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