Architecture Question regarding RPD (Best design practice)

Hello, I need some design help regarding the best way to build a RPD for a Bank. Your help / guidance is greatly appreciated as always:
Following is data (example)
Revenue ALL (1 million record)
Revenue by filter A ONLY (250k)
Revenue by filter B ONLY (50k)
Revenue by filter C ONLY (150k)
Revenue by filter D ONLY (25k)
Requirement:
Report Revenue ALL
Report Revenue % A of ALL = (250k / 1 million) * 100
Report Revenue % B of ALL = (50k / 1 million) * 100
Report Revenue % C of ALL = (150k / 1 million) * 100
Report Revenue % D of ALL = (25k / 1 million) * 100
Should i build this from a single FACT source or should i have something like the following:
Source one: Revenue ALL
Source two: Revenue by filter A ONLY (250k)
Source three: Revenue by filter B ONLY (50k)
Source four: Revenue by filter C ONLY (150k)
Source five: Revenue by filter D ONLY (25k)
All of these will have ONE common Bank dimension allowing me to join across if needed.
Essentially, the question is, should i use a single source table containing ALL data or have multiple sources each providing me exactly what i am looking for?
Thanks,
Jes

I would use single source data at ALL level and then filter it as needed.
user
100.00 * count (column filterd by ..) / count (column)
to get your percentages.

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Hi Aravind,
first of all thanks for your reply regarding my questions.
I sent you a mail a few days ago but since i did not receive a response i am not sure it got through.
My main question regarding the actual usage of RUs when inserting documents is still my main concern since i can not insert nearly
as many documents as expected per second and CU.
According to to the documentation (http://azure.microsoft.com/en-us/documentation/articles/documentdb-manage/)
i understand that i should be able to store about 500 documents per second with single inserts and about 1000 per second with a batch insert using a stored procedure (20 batches per second containing 50 documents each).
As described in my post the actual usage is multiple (actually 6-7) times higher than expected…even when running the C# examples
provided at:
https://code.msdn.microsoft.com/windowsazure/Azure-DocumentDB-NET-Code-6b3da8af/view/SourceCode
I tried all ideas Steve posted (manual indexing & lazy indexing mode) but was not able to enhance RU consumption to a point
that 500 inserts per second where nearly possible.
Here again my findings regarding RU consumption for batch inserts:
Automatic indexing on: 777
RUs for 50 documents
Automatic indexing off &
mandatory path only: 655
RUs for 50 documents
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Since DocumentDB is still Preview i understand that it is not yet capable to handle my use case regarding throughput, collection
size, amount of collections and possible CUs and i am fine with that.
If i am able to (at least nearly) reach the stated performance of 500 inserts per second per CU i am totally fine for now. If not
i have to move on and look for other options…which would also be “fine”. ;-)
Is there actually any working example code that actually manages to do 500 single inserts per second with one CUs 2000 RUs or is
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also added a feature requests as proposed by you.
Sorry for the long post but i am planning the future architecture for one of our core systems and want to be sure if i am on
the right track.
So if you would be able to answer just one question this would be:
How to achieve the stated throughput of 500 single inserts per second with one CUs 2000 RUs in reality? ;-)
Best regards and thanks again

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