Differences between MOLAP and ROLAP in ORACLE

Surest iÂ´m in a mistake but i want to tell you...
I think that if i want to build a data warehouse i have two options in ORACLE.
1. MOLAP data warehouse.
So i have to create an analytic workspace and define there logic objects like dimensions, hierarchies, levels, and so on. Later i map data from OLTP systems to the logic objects ... (here i have a question)
* The OLTP data must be in a star or snowflake scheme?
* The ETL stage is made on OLTP or in analytic workspace?
... and later i execute calculates over the logic objects form a OLAP application ... (here i have another question).
* I can make this calculates with OLAP DML or just with SQL???
2. ROLAP data warehouse. Here i just create tables (facts and dimensions) in a star o snowflake scheme, load data from OLTP systems on this tables and
later i consult them using pure SQL.
Someone from this respectable forum can tell me if i'm in a mistake. I appreciate your help.
Thanks a lot.
Lisandro A.
Oracle User
University of Cauca
Colombia - South America

Lisandro-
The MOLAP option includes creating the cubes, dimension and hierarchies etc in the analytical workspace and there corresponding metadata. This perhaps you could do easily using the new version of AWM 10g. Apart from creating the bare objects to store the cubes and dimension, AWM also creates the necessary metadata to store the description, hierarchies etc.
AWM enables you to create the MOLAP objects and map the relation structures (views/tables) which will populate the cubes/dimension in MOLAP. Typically one creates the star schema data model in relational schema in form of set of tables and then maps the AW objects (Cubes/dimension) using AWM to fetch the data from the relational data model. It is very rare that some one maintains staging area in the AW (molap storage). You can get rid of relation star schema if the source system are simple and can be easily mapped to the cubes/dimension.
2. For the ROLAP option, it is not just creating set of relation tables and the foreign key relationship between them (star schema) and accessing through SQL. But part from creating the star schema it involves creating necessary metadata around it. This you can do it either through OEM, CWM pl/sql apis. You can get the further details in the OLAP User Guide.
The meta data inturn is used by reporting tools like BI Beans, Discoverer and Spreadsheet addin. The meta data and the OLAP API (which is part of Oracle OLAP) enables reporting tools to pose the complex analytics queries to the ROLAP schema.
Hope this helps

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