"Reverse Star schema" to star schema

Hey
This is my first post and I´m working with OWB for abou 4 Months now.
My problem:
I am working with a cube but instead of a real star schema I always get a model like this:
a fact in the fact table of my cube matches to multiple records in the dimensions. (1 to n)
The cube itself is ok and even the results but on the database site I want to implement a real star schema.
Is there any way to remodel the dimensions or the cube or tables so that i an get a star schema.
I read about bridge tables to solve this problem, but I´m not sure they can help me.
Anyone an idea?
Thanks Mario

See if this helps,
http://docs.oracle.com/cd/E14571_01/bi.1111/e10540/busmodlayer.htm#BGBJGJIB
http://kimballgroup.forumotion.net/t1356-weighting-factor-in-bridge-table

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hi,
This is my situation.I have "Fact-table" which has Dim 1 .now Dim 1 is joined to Dim2,Dim3
Fact
|
Dim 1
|
| |
Dim 2 Dim 3
Now in Bmm Layer how can i make this snowfalke schema to star schema.I heard about making changes in the Logical Table source.And what will be the look of the presentation layer.
Any help is appricaited Guys.

In physical layer, you have a join between Dim 1 and Dim 2, Dim1 and DIm3, Fact and Dim1. In BMM for Dim1, in the sources, add Dim2 and Dim3. You may add both these dimensions in one single LTS if the data is not duplicate in the tables. In case the data is duplicated add them as seperate LTS in the sources for Dim1. Refer this post for reference -- Logical Table source source query
In BMM you need a join between Dim1 and Fact. Basically your Dim1 is sourced from three different tables which are your dimensions. This would transform your snowflake into star. In your presentation layer you will have all the columns from your dimensions (except for the duplicates, lets say you have column A in both dim1 and dim2, you should map this column in column mapping tab so as to enable BI server to pick the most economical source) and facts.
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Star schema or Snowflake schema

Hi Gurus,
I have following dimensions and fact table. let me know can I go ahead with star schema and snowflake schema while building the cube.
1. Country's table
2. workgroup table --> each country have N number of work groups
3. user table---> each workgroup have N number of users.
4. time table.
5. fact table.

This is a similar thread that discusses on the design approach of star vs normalized tables
https://social.technet.microsoft.com/Forums/sqlserver/en-US/7bf4ca30-a1bc-415d-97e6-ce0ac3137b53/normalized-3nf-vs-denormalizedstar-schema-data-warehouse-?forum=sqldatawarehousing
In my experience majority of cases I've some across is also star schema for data marts where tables will be more denormalized rather than applying priciples of normalization. And I believe so far as its through SSAS cubes that you exposes the OLAP model
it would be much easier to implement relationships using a denormalised approach.
What you may do is to have a normalised datawarehouse if you want and then built the datamarts over it using denormalised tables (star schema) for the cube.
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Hi,
I would like to know following things
1. Can we use more than one star or snow flake schema for an universe? and how to do this?
2. Using multiple shemas for one universe is it good practice or not?
Regards,
Manjunath

Manjunath,
This is exactly where BusinessObjects excels.
When dealing with multiple fact tables, you use contexts.
Contexts are very simple to understand and you must take your time to do so if you are going to successfully develop universes based on more than one fact table. No matter what universe you build, the rule for contexts is always the same; there are no different circumstances based on, say, industry.
Each context starts with a base table, typically a fact table, where all its joins are at the many end of the relationship. The joins are then followed out through the joined tables up other joins where they in turn are at the many end, as in a snowflake schema.
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It doesn't work well with many-to-many joins, but you really shouldn't be facing these in a well-designed multi-star.
As for one-to-one joins, set the cardinality as one-to-many in the direction that you know the relationship should be in for the ownership to work out correctly..
The process that I've described above is essentially how the Detect Contexts algorithm works.
The only remaining thing for you to read up on is the SQL parameters but essentially you need ot be able to select multiple contexts and generate multiple sql statements for each context. Otherwise, what's the point in defining them?!!
Hope that clears it up for you.
Regards,
Mark

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Hi Jack,
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Hi,
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Thanks in advance,
Mahi

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Oracle Grant Privileges
===============
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===============
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Edited by: Trooper on Dec 23, 2008 9:24 AM

I think what was suggested was that you use SQL to generate the grants on each and every view, that is, you use SQL to generate SQL where the SQL being generated is "grant select on view_name to role'"
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Example using SQL to generate SQL
How do I find out which users have the rights, or privileges, to access a given object ?
http://www.jlcomp.demon.co.uk/faq/privileges.html
HTH -- Mark D Powell --

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"Reverse Star schema" to star schema

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