In this chapter, we will discuss one-dimensional data, i.e. a data set represented by a sequence of double-precision floating-point real values, N 1, N 2,…,N max .
This is a rather common case for almost any data analysis.
Each number can represent, for example, a value obtained from a single measurement.
The dimensional data model provides a method for making databases simple and understandable.
You can conceive of a dimensional database as a database cube of three or four dimensions where users can access a slice of the database along any of its dimensions.
Single-dimensional data classifications often use the time dimension.
For example, you manage three years of application data that you want to divide into segments by quarter.
You create a time dimension and select range as the dimension type and date as the datatype.