My first Publication Agile-Data-Warehouse-Design-eBook | Page 98
Modeling Business Dimensions
77
Multi-Parent Hierarchies
The time hierarchy in Figure 3-6 is single parent hierarchy because each child level
value rolls up to just one parent level value. In contrast, Figure 3-9 shows a multi-
parent product hierarchy where a product (iPipPhone) belongs to more than one
Product Type (it is part telephone, part media player). In a multi-parent hierarchy
each child level can roll up to multiple parents. If a multi-parent product hierarchy
is used to roll up sales to the Product Type level, something must be done to
account for products that fall into multiple types. Their sales will need to be care-
fully allocated; otherwise revenue for products with two parents will be double-
counted at the Product Type or Subcategory level.
Multi-valued
hierarchies contain
members with two
or more parents at
the same level
Figure 3-9
Multi-valued Product
hierarchy
Multi-parent hierarchies can also be ragged or variable depth. The latter are typi-
cally represented in source systems by M:M recursive relationships. Multi-parent
hierarchies and variable depth hierarchies cannot be modeled directly in dimen-
sion tables. Chapter 6 covers additional structures (hierarchy maps) for coping
with these complex hierarchies and handling fact allocation at query time across
multiple parents. For the remainder of this chapter, assume hierarchies to be single
parent hierarchies that are modeled within dimension tables.
Multi-parent,
variable-depth
hierarchies
represent M:M
recursive
relationships
A dimension can contain multiple hierarchies of different types. You should model
at least one balanced hierarchy for each dimension to help discover additional
attributes and common levels for comparisons across processes, and to enable
default BI drill-down facilities.
Hierarchy Charts
Hierarchy charts are simple, quick to draw diagrams used to model single or
multiple hierarchies. On a hierarchy chart a dimensional hierarchy is represented
by a vertical bar with the dimension name at the bottom and the highest-level
attribute of the hierarchy at the top. The levels are represented as marks on the bar,
in ascending order. Figure 3-10 shows three example hierarchy charts for Time and
Product.
Hierarchy charts are based on Multidimensional Domain Structures (MDS) de-
scribed in Microsoft OLAP Solutions, Erik Thomsen et al., Wiley, 1999.
Hierarchy charts
are a quick way
to visualize
hierarchies