Answer / nagaraju bhatraju

Aggregate awareness can be used in following situations
1) you have summarized tables and detail tables and you
want BO to pick up right table based on what kind of object
you have pulled in your query.It helps to associate right
objects automatically and hence enhance your BO report
performance
2) Also, can be used if someone wats to setup complex logic
to pickup certain tables only, when picking certain columns
from one table.This can be done be setting up incompatible
objects in aggregate awareness panel.


Um....we could go many places with that, but here's my stab
at it. In
BusinessObjects it is the ability to, using the measure
objects, dynamically
interpret the context of the dimension objects and to "add
together" the
values of the measures involved. They call it "semantic
dynamism". For
instance, if I have a report listing 30 people, with their
name, gender and
their age (expressed as a measure object) each row of data
will show each
person's age. If I remove the name object from the table,
leaving only the
gender and age objects, BusinessObjects is "aware" that the
context of the
calculation has changed and that the only defining object
is gender.
Clearly, we should only have two genders (at least we hope,
right?) so the
age measure AGGREGATES to fit the new context, so you see
the average age
for each gender instead of individual ages of each person
(because the name
object was removed the rows are no longer defined by that
object). Does
that help explain the concept?
My definition of "Aggregate awareness" for a BI/Query tool
would be:
- the tool would automatically pick the right (i.e. highest
level/more aggregated) table based on the level of the
query requested.

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