Introduction

Most data analysis includes a time (history) perspective. Aggregate storage applications provide built-in time-based functionality through time dimensions and date-time dimensions.

Aggregate storage time dimensions are similar to block storage time dimensions. They enable tagging the accounts dimension for such time balance calculations as first, last, average, and to-date values. Time dimensions are easily modifiable.

Aggregate storage date-time dimensions enable the first, last, and average time balance support. In addition, Administration Services provides the powerful Create Date-Time Dimension wizard for quick date-time dimension setup based on special calendars, plus linked attribute dimension setup enabling crosstab reporting of time-related data. Date-time dimensions have a rigid structure and are not easily modified after they are created.

The remainder of this chapter discusses date-time dimensions and the linked attribute dimensions that can be associated with them. For information about time balance calculations in aggregate storage outlines, see Performing Time Balance and Flow Metrics Calculations in Aggregate Storage Accounts Dimensions.