Scenario
In SAP BI 7.0, we often require a sub set of data
to be accessed from Info cube.
So, in this case we need to create
smaller sets of data from the larger info cube.
For Example: For a
FY2009 with "Material A‟ data is only required from a set of 10
materials.
Introduction
Introduction
Since the info cube is small, the
required disk I/0 volumes during the query execution will be smaller
too, and the query users will have an improved query performance.
SAP
implements this idea in Business Intelligence & calls the new Info
cube an Aggregate.
An Info cube can have many aggregates, and all these
aggregates are very transparent to users.
That is, End users can
comfortably create aggregates on Info cubes, and the BI OLAP processor
does all the selection of the appropriate aggregate.
In case of
non-availability of aggregates, OLAP decides need to retrieve data
directly from Info cube.
Attribute Change Run
A change
run refers to the activating master data changes to attributes and
hierarchies, realigning aggregates containing navigational attributes or
defined on hierarchy levels.
The main problem when the master data is
changed (i.e. after data is loaded into the Info cube) is that the
change on the attribute is not reflected at the cube side.
We need to
perform a PSA to DTP. We‟ll try an approach to solve this issue using
Aggregate maintenance.
Fig 1.1 describes the changes affected to the availability of master data once a new record has been added.
Process Chains
Step by step analysis for the integration of attribute change runs in process chains
- Start
- Execute Info package ( Say if you are loading 2 Info Objects just have them all parallel )
- You might want to load in sequence - Attributes to Texts to Hierarchies
- And all connecting Info packages
- Attribute Change Run ( Add all relevant Info Objects)
Fig 2.23 – This figure is a simple demonstration of further simplicity introduced by process chains for ACR. The above are the steps which are to be followed for effective data transfer.
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