Dimension table is associated with N number of fact tables

Hi Expert's,
In case of star schema one fact table is associated with N dimension tables , is it possible to join one dimension table with N number of fact tables...please let my know the your suggestion...
Thank's
Harish

is it possible to join one dimension table with N number of fact tablesYes you can join one dimension table to many fact tables.
Thanks,
Vino

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Chapter 9, page 221(if pdf) of the Build Repository manual of OBIEE 11g explains following.
Creating Dimensions in Level-Based Hierarchies
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None of the dimension tables are compatible with the query request

Hi,
i am experiencing the below error while querying columns alone from employee dimension (w_employee_d) in workforce profile SA. There is only one column in my report which is employee number coming from employee dimension. when i query other information like job, region, location etc i am not getting any error. the below error appears only when querying columns from employee dimension. the content tab level for the LTS of employee dimension is set to employee detail.
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hi user582149,
It is difficult to answer you question with such a little amount of details. Could you specify:
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- what is the structure of your Business Model?
- which version of OBI are you using?
- what does your log say?
I hope to tell you more having the information above
Cheers

Problem with populating a fact table from dimension tables

my aim is there are 5 dimensional tables that are created
Student->s_id primary key,upn(unique pupil no),name
Grade->g_id primary key,grade,exam_level,values
Subject->sb_id primary key,subjectid,subname
School->sc_id primary key,schoolno,school_name
year->y_id primary key,year(like 2008)
s_id,g_id,sb_id,sc_id,y_id are sequences
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S_ID UPN FNAME COMMONNAME GENDER DOB
==============================
9062 1027 MELISSA ANNE       f 13-OCT-81
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Now according to the specification given, need to create a fact table as facts_table which contains all the dim tables primary keys as foreign keys in it.
The problem is when i say,I am going to consider a smaller example than the actual no of dimension tables 5 lets say there are 2 dim tables student,grade with s_id,g_id as p key.
create materialized view facts_table(s_id,g_id)
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,         (select distinct g_id from grade)gThis results in massive duplication as there is no join between the two tables.But basically there are no common things between the two tables to join,how to solve it?
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I was hoping if there is no other way then create a fact table with just one column initially
create materialized view facts_table(s_id)
as
select s_id
from student;then
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Any suggestions.

Basically your quite right to say that without any logical common columns between the dimension tables it will produce results that every student studied every sibject and got every grade and its very rubbish,
I am confused at to whether the dimension tables can contain duplicated columns i.e column like upn(unique pupil no) i will also copy in another table so that when writing queries a join can be placed. i dont know whether thats right
These are the required queries from the star schema
Design a conformed star schema which will support the following queries:
a. For each year give the actual number of students entered for at A-level in the whole country / in each LEA / in each school.
b. For each A-level subject, and for each year, give the percentage of students who gained each grade.
c. For the most recent 3 years, show the 5 most popular A-level subjects in that year over the whole country (measure popularity as the number of entries for that subject as a percentage of the total number of exam entries).
I written the queries earlier based on dimesnion tables which were highly duplicated they were like
student
=======
upn
school
school
======
school(this column substr gives lea,school and the whole is country)
id(id of school)
student_group
=============
upn(unique pupil no)
gid(group id)
grade
year_col
========
year
sid(subject id)
gid(group id)
exam_level
id(school id)
grades_list
===========
exam_level
grade
value
subject
========
sid
subject
compulsory
These were the dimension table si created earlier and as you can see many columns are duplicated in other tables like upn and this structure effectively gets the data out of the schema as there are common column upon which we can link
But a collegue suggested that these dimension tables are wrong and they should not be this way and should not contain dupliated columns.
select      distinct count(s.upn) as st_count
,     y.year
,     c.sn
from      student_info s
,     student_group sg
,     year_col y
,     subject sb
,     grades_list g
,     country c
where      s.upn=sg.upn
and     sb.sid=y.sid
and     sg.gid=y.gid
and     c.id=y.id
and     c.id=s.school
and      y.exam_lev=g.exam_level
and      g.exam_level='a'
group by y.year,c.sn
order by y.year;This is the code for the 1st query
I am confused now which structure is right.Are my earlier dimension tables which i am describing here or the new dimension tables which i explained above are right.
If what i am describing now is right i mean the dimension tables and the columns are allright then i just need to create a fact table with foreign keys of all the dimension tables.

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Dimension table is associated with N number of fact tables

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