
320 CHAPTER 14 Physical Design for Decision Support, Warehousing, and OLAP
respectively. Generally, aggregating data from one view into another view increases the
data density.
The difference in data density from the core data to summary views can be very
marked. Extending our grocery store example, let’s say that the store has 3,000 items
available, and the average customer buys 30 distinct items per visit, shopping once a
week. The data density of the core data is (30/3,000)(1/5) = 0.002. However, if we sum-
marize the data across all customers, then it would not be unreasonable to have a data
density of say 0.95 (i.e., most items have some units ...