Star Schema Design For Company Headcount With Headcount Targets

Nov 16, 2007

I am cutting my teeth on star schema design. I have a simple star schema I am building for Headounct analysis at work. I have a factless fact table where a row represents a head in the company. Each head is toed to a particulat week in a Date dimension tabel. There are additional dimensions for things like gender, ethnicity, marital status, age, etc. Now in my department dimension - it's hierarchical. In the DimDepartmnet there is a department which belongs to a company. Comapnies belong to divisions. Now the fun part. Each division has a headcount target for each year. Up to this point I am in a perfect star schema (no snow flaking). How would I integrate in this concept of a headcount target for each division for a given year?

We are using cognos on top of this star schema to provide reporting and analysis services if that is relevant. From the Star Schema design stand point... any thoughts?

Christian Loris

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Help In Retreiving Multiple HeadCount

Sep 28, 2007

Hi all
I have the following table schema and their details as follows:

Code Block
CREATE TABLE #Tbl_Project
(
ID varchar(40),
Name varchar(50)
)
GO
CREATE TABLE #Tbl_User_Project
(
ID int,
ProjectID varchar(40),
Role varchar(20)
)
GO
INSERT INTO #Tbl_Project VALUES('PRJ1','Project 1')
INSERT INTO #Tbl_Project VALUES('PRJ2','Project 2')
INSERT INTO #Tbl_Project VALUES('PRJ3','Project 3')
GO
INSERT INTO #Tbl_User_Project VALUES(1,'PRJ1','PM')
INSERT INTO #Tbl_User_Project VALUES(2,'PRJ1','TL')
INSERT INTO #Tbl_User_Project VALUES(3,'PRJ1','TM')
INSERT INTO #Tbl_User_Project VALUES(4,'PRJ2','PM')
INSERT INTO #Tbl_User_Project VALUES(5,'PRJ2','TL')
INSERT INTO #Tbl_User_Project VALUES(6,'PRJ3','PM')
INSERT INTO #Tbl_User_Project VALUES(7,'PRJ3','TL')
INSERT INTO #Tbl_User_Project VALUES(8,'PRJ3','TL')
GO
--Required Output
--ProjectID ProjectName PM:TL:TM Ratio HeadCount
--PRJ1 Project 1 1:1:1 3
--PRJ2 Project 2 1:0:1 2
--PRJ3 Project 3 1:0:2 3
DROP TABLE #Tbl_Project,#Tbl_User_Project

This is just sample of the values. The ratio obtained should be as follows:
Assuming for a Project 1 there are 2 - PM's , 6-TL's , 15 - TM's then the ratio should be 1:3:7.5 . So please help me in this regard.

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Dec 27, 2004

Hi,

I have tried the following out and would appreciate feedback from experienced users regarding if the following is a good/bad approach:

After bring all the data in my Data Mart, I have created a view which has all the data in a big flat table (totally unnormalized). Then based on this BIG FLAT UNNORMALIZED VIEW :) I have created my various dimensions using the 1st option i.e. Star Schema.

Based on the little testing that I have done, I seem to be getting the correct results across various dimensions... However, can someone kindly comment on this approach and the pros/cons.

Thanks

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Question 2:Depending on the answer to q1, is it bad practice to ETL data from a staging database (replica > staging) directly to a star schema (multiple data sources and cleansing / business rules required)? Or should it be processed from staging to an ods and only then to a star schema (physical or logical). I still don't know if an ODS is required but I guess the consideration for this decision is whether the business would require  daily operational (or ad hoc) reporting on the consolidated data sources (without needing historical DW functionality).

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Mar 26, 2004

Let me explain what I'm trying to do and see if I can get any suggestions. I have some tables in a database to track "Required Reading" so that users who login must read documents by a certain date.

My first idea was to have a table called Reading that would store each UserID and every DocID from the Documents table. Then when the User logged in I would do a SELECT * FROM Reading WHERE UserID = 'User1' to filter down to all of the documents for the current user. So if I have 10 users and 10 documents then I would have 100 records in the Reading table.

The only problem with that is that every user logged in would have the Reading table open at the same time but no two users should ever be editing the same record. The user would have an exclusive recordset based on his UserID. I just don't know if this would cause a conflict.

Documents
-----------------
DocID nvarchar(16) (PrimaryKey)
Revision nvarchar(8)
RevisionDate smalldatetime
DueDate smalldatetime

Reading
----------------
UserID nvarchar(16) (PrimaryKey)
DocID nvarchar(16) (PrimaryKey)
Read bit
ReadDate smalldatetime

The second idea is to have the same Documents table but when a user logs in, create them a unique table. So if User1 logs in I would check to see if a User1 table exists and if not create it. The same for User2 etc.

User1
------------------
DocID nvarchar(16) (PrimaryKey)
Read bit
ReadDate smalldatetime

User2
------------------
DocID nvarchar(16) (PrimaryKey)
Read bit
ReadDate smalldatetime


Which would be a better schema design?

What would be the best way to index the tables?

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Mar 10, 2008

Hi All,

Can you tell me how to represent the problem below?

I want to be able to store different types of information for products in different categories.

So Category A maybe TV's and category B maybe Sofa's and Cateogry C maybe Car. There will however be some common data.

So for a TV I may want to store screen size etc.. and for a Sofa if its leather and for cars maybe whethers its a Saloon, 4x4 etc.. The common data maybe Manufacturer, Price etc..Obviousely each peice of info will be of a different data type.

How best do I represent this in a database because I will have lots of categories of products and the products will be used for filtering too. So I need to create a solution which is not too costly on performance.

To give you an example of what I'm intending on doing..lets look at desktop computers which will have the following product specific info to filter on:
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and for TV's we have
http://audiovisual.kelkoo.co.uk/ctl/do/compareProducts?back=%2Fc-100311823-lcd-tvs.html&catId=100311823&pid1=18052959&pid2=18704336

or
http://shopcompare.eu/ash/search.php?phrase=GPS
and
http://shopcompare.eu/ash/search.php?phrase=palmtops&cid=28

Thanks in advance, any guidance even to any online tutorial would be appreciated.

Gaj-It.com - Gadget News

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Main 3 operations the web users will perform: Quick Searching(most frequent): category=car, subcategory=sedan, country=USA city=LosAngeles Zip=empty 
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   category=car, subcategory=SUV, country=USA, city=NY, Year= in(99, 00, 03), transmission=Auto, Maker=Toyota, and Price between 11000 and 14500

 Insert(least frequent): By filling out web form. For Car, the form will have different dimensionsattributes (year, make, model, transmission, mileage, color, price etc)

Current Schema design: Set of core dimensionlookup tables: stores corecommon attributes for lookups eg. status={open, new, expired}, country={USA, Canada, India,...}
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3 Fact Tables: Main factPivot table that stores all sell common attributes eg. price, title, year_made, post_date, expire_date, user_name, description etc. One fact table to store custom string, int, float, date field values of ads. One fact table to store custom dropdown field selection values

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product_category
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   - ....other fields
 
Now, for each product type, it has a distinct set of specifications. For example: Books type, will have author, publisher, pages, etc. Apparels type will have color, size, materials, etc. I don't think I can put all those specifications into one table - the product table above. 
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