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DB2 Cube Views: A Primer
book

DB2 Cube Views: A Primer

by Corinne Baragoin, Geetha Balasubramaniam, Bhuvaneshwari Chandrasekharan, Landon DelSordo, Jan B. Lillelund, Julie Maw, Annie Neroda, Paulo Pereira, Jo A. Ramos
September 2003
Beginner to intermediate content levelBeginner to intermediate
754 pages
18h 9m
English
IBM Redbooks
Content preview from DB2 Cube Views: A Primer
72 DB2 Cube Views: A Primer
For example, in our business case study,
CONSUMER
,
PRODUCT
,
STORE
,
DATE
and
CAMPAIGN
are the dimensions.
Figure 3-7 Dimension and attributes
Dimensions help make a meaningful interpretation of measures in the facts
object. For example, a profit of 300 has no meaning by itself. When described in
the context of a dimension, say
STORE
(which has information on the stores
worldwide that sell the product, broken down in terms of country, state, city and
so on) or Date (information related to
TIME
in terms of
Year
,
Quarter
,
Month
typically) then such a measure becomes meaningful. It is now easier to
understand “A profit of ...
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Publisher Resources

ISBN: 0738499730Purchase book