Needed - BW data model and list of Dimensions and Fact table from BW

Dear Friends,
Can somebody please share SAP BW DATA MODEL (LOGICAL) and share the list of DIMENSION and FACT tables exist in BW?
I don't have access to SAP or SAP BW and I am building data-mart and SAP FI/CO will be the source.
Thank you very much in advance.
Regards,
Nitin
Edited by: Nitin Baradia on Apr 5, 2010 9:08 AM

Let me rephrase.
I got an EarlyWatch that said my dimensions on one of cube were too big. I ran SAP_INFOCUBE_DESIGNS in SE38 in my development box and that confirmed it.
So, I redesigned the cube, reactivated it and reloaded it. I then ran SAP_INFOCUBE_DESIGNS again. The cube doesn't even show up on it. I suspect I have to trigger something in BW to make it populate for that cube. How do I make that happen manually?
Thanks.
Dave

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Hi Gurus,
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How do i design Time dimension with fact table the below scenario
In the dashboard i have start Month and End month as prompts.
In the report i need to display Count(Person ID) > Start Date and < End Date along the trend.
For instance, i have selected Jan-2009 as start date and Apr-2009 as End Date, then i need to display Count(Person ID) of Jan-2009, Feb2009, Mar-2009 andApr-2009.
I Can not connect Time dimension with only Start Date or only with End Date to get the trend along the months.
Please advice on the issue which i am having.

Hi,
Thanks for the response, Infact i tried using Complex join in physical layer. I have considered Time table joined with Fact table, and used >= and took and alias of the Time table and joined fact table using <=. When coming to BMM, i am not knowing how do i design this as if i merge the both the time dimensiona and its alias into single table, values will not be correct and if i make them as seperate columns. i can not show the trend as both are different columns.
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Thanks

Load data from dimensions to fact table

Hi,
I have 10 dimension tables and one fact table. now i want to load data in to fact table from dimensions table. how i can do that.
Regards,
joy

To elaborate on "Mallee"'s answer, it's not good practice to load dimensional data into a fact table.
I guess what you mean is how to refer to dimensions when loading a fact table.
Simply refer to dimensions using lookups on the necessary dimensions, the lookup needs to be on the natural key you have that links facts to dimensions. Don't forget to use the dimension's surrogate key though when populating the fact table's foreign key columns pointing at the dimensions.
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Cheers, Patrick

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hi every1,
I am new to oracle and specially to Data Warehousing. I am using OWB 11g on windows XP.
I have created the dimensional for a database, now i am in the implementation phase.
i have the following questions.
1. I don't know how and when to create a fact table. I have already created the dimensions (ROLAP).
2. Do i need to create a mapping for a Cube. if yes, then how to load them from 4 different dimensions. how will be the join condition, they don't match?
3. I will also try for aggregation, do i need to use MOLAP for the dimensions or ROLAP works?
Please, give a quick reply.
regards
RF

You should ask your question here:
Warehouse Builder
where it is on topic.

OWB Newbie - Joining Dimensions to Fact Tables

Hello Forum,
This may seem like a simple question, but the documentation is so lacking that I can't seem to find the answer to "how does the tool" work.
I am creating a simple data mart starting with a star schema and choosing a deployment option of ROLAP.
When using the OWB Tool to create dimensions and fact tables, do you need to define your primary business key (coming from your source system) in each fact table for each dimension that will join to that fact table? I am assuming yes, at least at the lowest leaf level of the dimension hierarchy in this case Store_ID. How else would you be able to correctly join a particular sales order record to the store that it was sold in? a simple query that we know our users will execute for reporting purposes. To make myself clear here is a simple example:
Dimension = Store
Hierarchy = Store ----> Sales Territory ---->Region ----->Country
Attributes = Store ID (primary business key), Store_Name, Sales_Territory_ID, Sales_Territory_Description, Store_Manager_Name, Store_Location etc.,
Cube or Fact Table = Sales Orders
Measures = sale_price, quantity, drop_ship_cost, sales_tax, etc.,
Do I also need to create an attribute for Store ID so that when I load each sales order record into the fact table along with it comes it's proper Store ID?
I understand how the tool uses the surrogate key and business identifier to create a foreign key look-up from dimension to fact table and pull in the correct store description (i.e. name) but unless you have the Store ID as part of the sales record being loaded into the fact table I don't see how the you can traverse the table and join a sales order to it's proper store?
Can someone who is farther along in the process or has more experience with other components of the tool confirm my assumption or set me straight on how the tool accomplishes this?
thanks
monalisa

Hi Monalisa, I'll reply assuming your using OWB 10gR2.
First off, for each of the dimensions, you'll define a business key (as you noted below). Then, when you define the cube object, you'll tell it which dimensions you are using, along with the measures you will be storing.
When you drop a "cube" object into a map, it will show the measures, but it will replace the dimensions with their natural keys. I.e. in your example below, if your sales order cube had ONLY the store dimension, then the cube object will show up in a mapping with the measures of sales_price, quantity, drop_ship_cost, etc., but instead of showing the dimension for store, it will instead show the natural key Store_ID. When you map your data to load (which should be by store_id), OWB will automagically look up the proper dimension keys and do everything else for you.
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Scott

Mix source data with different granularity into the same fact table?

I have two transaction tables "Incident (157 columns)" and "Unit (70 Colums)". For every "Incident" that happens there could be one or more records in the "Unit" table.
As part of my data mart design, I have merged both the tables into a single Fact "Incident Fact (227 Columns)" and inserted the records from both the tables with a join condition between them [incident.IN_NUM = Unit.IN_NUM].
Is this correct, is my question? or am I mixing source data with different granularity in the same fact table. Appreciate your help.
Best Regards
Bees

Bees,
Are the measures from 'Incident' , repeated for a given incident where it has more than one record in the Unit table ? If so, then the sum(indicent.measure) will give an incorrect result, no ?
What requirement is there to physically merge the tables together outside of OBIEE? With OBIEE you could have one logical 'fact' table to present to report users, which sourced from seperate Incidents and Units tables and would stop the incorrect aggregations occuring. A common modelling piece in the same way would be Order Headers and Order Lines, quite common in OBIEE to have a logical 'Orders' fact which contained both Order header measures and Order line measures, this translates to your Incidents -> Units relationship.
To do what I've mentioned, is relatively straight forward, you need a 'Dim - Incident' with two levels, Incident and Unit, mapp the unique identifiers in as the level keys and then use these levels to set the content levels correctly in your 2 logical tables sources for logical 'Fact' , ie Incidents LTS at incident level, Units LTS as units level.
Hope this helps, let us know if you get stuck.
Cheers
Alastair

Insert data into fact table from source database tables

here i try to insert data into fact table from source database tables here is the query
ALTER procedure [dbo].[facttable]
as
insert into [pp dw].dbo.Dimfact(Prod_ID,Production_ID,Material_ID,Equip_ID,WC_ID,Recipe_ID,Quantity,costprice)
select Products.[Product ID],[Production ID],Materials.[Material ID],[Equipment ID],[Work Centre ID],[Recipy ID],Quantity,[cost price]
from
[PRODUCTION PLANNING 2].dbo.[Products],
[PRODUCTION PLANNING 2].dbo.[Production Detail],
[PRODUCTION PLANNING 2].dbo.[Material category],
[PRODUCTION PLANNING 2].dbo.[Materials],
[PRODUCTION PLANNING 2].dbo.[Equipment],
[PRODUCTION PLANNING 2].dbo.[Working Centre] ,
[PRODUCTION PLANNING 2].dbo.[Recipies]
where
Products.[Product ID] in (13, 14, 15, 16, 17) and
[Production Detail].[Production ID] in (1, 2, 3) and
[Materials].[Material ID] in (1, 2, 3, 4, 5) and
[Equipment].[Equipment ID] in (1, 2, 3, 4) and
[Working Centre].[Work Centre ID] in (1, 2, 3) and
[Recipies].[Recipy ID] in (1, 2, 3) and
[Material category].[Category ID] in (8, 9, 10, 11, 12, 13)
and when i execute query it shows me error
The INSERT statement conflicted with the FOREIGN KEY constraint "FK_Dimfact_Dimproduct". The conflict occurred in database "pp dw", table "dbo.Dimproduct", column 'Prod_ID'.
ERD IS
HOW TO SOLVE THIS PROBLEM?

I cant see any join conditions in your query posted. Whats the purpose of the query above. It will just bring you a cartesian product (cross join) of tables involved subjected to filters. Are you sure this is the correct query?
The error you're getting may be because you've not yet populated DimProduct or may be because of logic you used in popultaing DimProduct causing it to miss some records which is what query is referring to in above case.
Please Mark This As Answer if it solved your issue
Please Mark This As Helpful if it helps to solve your issue
Visakh
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PLEASE SEND ME SQL query to list ALL CONSTRAINTS ON EMPLOYEES TABLE FROM OU

PLEASE SEND ME SQL query to list ALL CONSTRAINTS ON EMPLOYEES TABLE FROM OUTSIDE PP SCHEMA INCLUDING SCHEMA NAME AND CONSTraint NAME
Username : PP
Table : Employees

I think you are looking for below query :
SQL> SHOW USER;
USER is "SCOTT"
SQL> select owner,constraint_name,constraint_type,table_name,r_owner,r_constraint_name
2    from all_constraints
3    where constraint_type='R'
4   and r_constraint_name in (select constraint_name from all_constraints
5    where constraint_type in ('P','U') and table_name='EMP');
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Help Needed with Data-modeling to build an application on

Hi would anyone be able to help me in creating a data model cause im really stuck with this one .Basically if been asked to create a survey application in oracle apex that use to excel based . So the info i was given was in a form of excel sheet which looks like this
NAME
E-MAIL
TSSA
ORACLE
HP
IBM
MS
SAP
INTERGRAPH
CISCO
Relationship
Contracting
Performance
Architecture
Supplier Feedback
comments
Jxxxxxx yyyyyyf
[email protected]
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Yes
Yes
Yes
x
requested to be added
nnnitha iiiiiah
[email protected]
Yes
Yes
Yes
x
x
Knnnn kkkikot
[email protected]
Yes
x
x
is not payed
Gggrt Louuuue
[email protected]
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
x
x
x
x
jeiiiha ad
[email protected]
Yes
x
to meet with
John Rat
[email protected]
Yes
x
x
So where it says yes thous are the vendors that people associated with them have to asses and where there's an X thous are the topics that the vendors have to be rated on . So if for example the first guy on the list Jxxxxxx yyyyyyf will asses TSSA , ORACLE, HP , IBM , MS , SAP on the topic of Architecture and if you look at the second user nnnitha iiiiiah he would rate TSSA , ORACLE , INTERGRAPH on the topics of Relationship and performance . Any idea how i could data model this to get my table structures right .so that features like completion status could be displayed to the user through APEX which can only be done by a correct data-model i have tried normalization but i did go anywhere becauce there are so many variations any idea on how you would go about data modeling this would be greatly appreciated thank you

Not really an APEX specific question.. Maybe you should try posting this in the data modeler forum : SQL Developer Data Modeler
Thank you,
Tony Miller
LuvMuffin Software

Oracle SQL Developer Data Modeler 3.0 Bugs, Resolution and workarounds

The purpose of this thread is to list bugs discovered while using ORACLE SQL Developer Data Modeler 3.0
Mainly with SQL SERVER 2005 and ORACLE 10g models.

SQL Server Physical model doesn't save table identity column.
here are the steps to get this bug:
1. create a table in relational model with a column as an integer to be used as an identity.
2. create or open a physical model for SQL-SERVER 2005
3. open the table in the physical model
4. edit the integer column property dialog
5. tick the identity check box and close the property dialog
6. save the model and close it
7. open it again, you will find the identity check is removed! (probably not saved from the start)

Oracle Data Modeler price list

Hi everyone,
We would like to install Oracle Data Modeler in the Office. We have seen on the web site that we can download it for free. But if you open the price list it is announced for 3000 $ by machine.
We don't understand how is it working.
Maybe there is a larger version, or it is only free for personnal use...
Thanx for clear that up.
Cheers

Hi,
yes I think we are thinkink to the same product.
Here
[http://www.oracle.com/technology/products/database/datamodeler/index.html]
My Question is :
Everywhere on the web, it is said that it's free to use, but here you see on the price list that , it is a priced product.
[http://www.oracle.com/technology/products/database/datamodeler/html/pricing_faq.html]
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One DIMENSION, Two FACT Tables - One WEEKLY grain, one DAILY grain

All the OBIEE gurus, thanks for checking out this post.
Background: We have a common DIMENSION referencing two FACT tables having different granularity.
DIM = Customer Dim
FACT = Forecasting (Weekly granularity)
FACT = Sales (Daily granularity)
There is a need to report from the Customer Dimension table AND access the Forecasting FACT (weekly grain) & Sales FACT (daily grain).
Example of query is listed below:
Give me customer = 'ABC' and the forecast and sales for a specific time period.
What will be the best way to handle something like this? I have seen examples of handing multi-fact table access in OBIEE but the granularity of both the FACT tables is different (weekly vs. daily).
Any help with an example is greatly appreciated.
Thanks,
Sunshine

Hi.
This one:
Joining different level aggregation measures together into a single logical fact table
http://108obiee.blogspot.com/2009/07/joining-different-level-aggregation.html
Regards
Goran
http://108obiee.blogspot.com

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
select * from student;
S_ID UPN FNAME COMMONNAME GENDER DOB
==============================
9062 1027 MELISSA ANNE       f 13-OCT-81
9000 rows selected
select * from grade;
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        73 A          a                 120
        74 B          a                 100
        75 C          a                  80
        76 D          a                  60
        77 E          a                  40
        78 F          a                  20
        79 U          a                   0
        80 X          a                   0
18 rows selectedThese are basically the dimensional views
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)
as
select s.s_id,g.g_id
from   (select distinct s_id from student)s
,         (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?
Consider it when i do it for 5 tables the amount of duplication being involved, thats why there is not enough tablespace.
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
alter materialized view facts_table add column g_id number;Then populate this g_id column by fetching all the g_id values from the grade table using some sort of loop even though we should not use pl/sql i dont know if this works?
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.

How to fetch data from multiple fact tables from a normalized schema?

Hello everybody,
I am working on a normalized schema to build my repository. I have categorized the tables into dimensions and facts. I have 3 fact tables in my schema and they have a 1:m:1 relationship i.e. if I have table A, B, and C; A has 1:m relationship with B and C also has 1:m relationship with B. How can I use measures from these tables to create a star schema. If A = Sales, B = Transaction, C = Payment_Amount
Sales(Sales ID, Amount, Tax pct, ...)
Transaction(Transaction ID, Sales ID, Payment ID,Transaction Amt, ...)
Payment_Amount(Payment ID, Check ID, Payment Made, ...)
Please give me some direction to pursue.
Thank you!
D

Hi dcole,
Go through this link for snowflake schema http://gerardnico.com/wiki/datamodeling/snowflake_
http://www.rittmanmead.com/2007/06/19/obiee-data-modeling-tips-1-integrating-1-1-and-1-many-source-tables/
I suppose it should work with snowflake schema...Im interested in this topic please let me know what is your approach every now and then.
By,
KK

How to read tables and fields transaction,how to find table from a strucre

hi all,
i am having problem in reading tables and fields for developing a customised report. can anybady help me how to extract tabele and fields from a transaction code and how to map table from a structure.
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Thanking u
kiran
Message was edited by:
kiran

Hi Kiran,
You can make use of the tables or Views available.
Reward If Useful.
Regards,
Chitra

Needed - BW data model and list of Dimensions and Fact table from BW

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