Dimension (data Warehouse)

Dimension (data Warehouse)

In a data warehouse, Dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labeling.

These functions are often described as "slice and dice". Slicing refers to filtering data. Dicing refers to grouping data. A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product.

A dimensional data element is similar to a categorical variable in statistics.

Typically dimensions in a data warehouse organised internally into one or more hierarchies. "Date" is a common dimension, with several possible hierarchies:

• "Days (are grouped into) Months (which are grouped into) Years",
• "Days (are grouped into) Weeks (which are grouped into) Years"
• "Days (are grouped into) Months (which are grouped into) Quarters (which are grouped into) Years"
• etc.