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IBM Cognos 8 Platform => COGNOS 8 => Framework Manager => Topic started by: ratnalein on 09 Sep 2012 04:04:16 PM

Title: Database View vs. Dimensional View
Post by: ratnalein on 09 Sep 2012 04:04:16 PM
Hallo everyone,

as fas as I know, in Framework Manager, the first step to build our data model:
to build the database view. To be concrete, in this step, we are giving the informations regarding the relationships and cardinalities from our tables.

In the second step:
to build the dimensional view. Here, we are building the hierarchies and levels needed.

I would like to understand whether cognos builds MOLAP(to build a real multi dimensional OLAP store structures) in the dimensional view? Or would cognos build an OLAP on the fly for the queries?

Thank you very much for the comments.

Regards,
Ratna
Title: Re: Database View vs. Dimensional View
Post by: tjohnson3050 on 09 Sep 2012 06:50:59 PM
Cognos doesn't do MOLAP in Framework Manager, only ROLAP.   Traditional cubes are built using Transformer and in memory cubes are built with TM1.
Title: Re: Database View vs. Dimensional View
Post by: cognostechie on 11 Sep 2012 01:04:28 PM
Just to add to what tjohnson said - The dimensional view defined in Framework Manager will build an OLAP on the fly for the queries. Everything in Framework Manager is virtual, nothing physical. Transformer will build a physical MOLAP whereas TM1 will build a physical ROLAP. The in-memory cube built by TM1 physically resides in a database and gets loaded in the memory for execution
Title: Re: Database View vs. Dimensional View
Post by: ratnalein on 13 Sep 2012 07:19:19 AM
Thank you for the clear answers...
Title: Re: Database View vs. Dimensional View
Post by: MFGF on 13 Sep 2012 07:38:36 AM
Just to add another option, Dynamic Cubes in 10.2 give you another choice - here Cognos 10 has ROLAP support and aggregate awareness. There are some important guidelines on how the underlying data should be structured - either as Star or Snowflake schemas - but it's another weapon in your Cognos arsenal :)

MF.