dcow at 02h40
04
Sep
2009
Advice on factless table use
I have a situation where i have modeled a process relating to invoicing such that there is a fact table of invoice line items and some dimensions such as date and recipient of the item to name a couple. The situation i am encountering however is that the facts only represent what actually does get delivered to a recipient . The user however is likely to want to see in any report run these results plus zero quantities against the recipient
I have a situation where i have modeled a process relating to invoicing such that there is a fact table of invoice line items and some dimensions such as date and recipient of the item to name a couple. The situation i am encountering however is that the facts only represent what actually does get delivered to a recipient . The user however is likely to want to see in any report run these results plus zero quantities against the recipient
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Data Warehousing and Business Intelligence based on dimensional modeling and the Kimball Lifecycle.
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Please consider the following options and recommend an approach. Thanks in advance.
Option 1
PERSON_KEY DEGREE_KEY LANGUAGES_SPOKEN_KEY ROLE_TITLE_KEY
P1 D1 L1 R1
P1 D2 L2 R2
P1 D1 L3 R3
P1 D2 L3 R4
Option
Hi,
I was wondering if there is anything wrong with having a factless sales table?
Basically all I am required to do is to count up the total number of sales that occurred each month grouped by product type. So basically all I have in my fact table
Hi everyone !
(To begin, I want to apologize for the bad english i'm gone use cause im french canadian)
system i'm using :
Sql Server 2005 Ent
SSAS 2005 (For cube)
SSIS 2005 (For ETL)
I'm in the process of building a datawarehouse for the
Some time ago I was asked to build the BI platform for a road safety organization. The warehouse was built of three primary fact tables, each with a collection of associated dimensions. I am now trying to branch out into ETL and Warehouse design, and from
We are working in a MS SQL Server 2005 environment using SSIS to populate our DW DB and SSAS to build our OLAP database from that DW DB.
It is not a huge database in the scheme of things - 28 million payments, 6 million customers, 2 million membership
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04/09/2009 at 02h40 by "dcow"






