your interesting facts
so basically you put interesting facts about yourself such as something really good or really bad you have done,something really good or really bad that has happened to you, or just something you want to share about yourself.you can also put any

Interesting science facts - 50 amazing science facts
1. Word "Science" derives from Latin word scientia meaning knowledge. 2. Human need approximately 12 hours in order to entirely digest the food. 3. Brain cells are the longest living cells in our body, they can last for an entire lifetime. 4. Som

Some interesting ranks/positions available on the interviewing site!!
Name of site (and/or forum)?: Interviewed You (IY) Link to forum?: www.interviewedyou.com Forum: www.interviewedyou.com/forums Genre?: A bit of journalism and 1 of a type site. Special concept; Forum Software?: MyBB 1.6 on the forum and Wordpress on

Multiple facts in a fact table
One proposed model for our business (wholesale/retail) sales fact is to have every register ring in one fact. This causes refunds, voids, coupons and other 'facts' to be stored in a single fact entity. There is a column type dimension that then tells us

'Interesting Factoids" Do you know ?
Interesting Factoids" > > Did you know ......... > 1.It is impossible to lick your elbow. 2. A crocodile can't stick it's tongue out. 3. People say "Bless you" when you sneeze because when you sneeze, your heart stops

Textual Facts in the fact table
Its a new financial 'capital markets' dimensional reporting model (for IPO - raise money for an issuer by issuing new equity common stock securities) that's in design stage. There are some textual attributes of the grain of several fact tables for which

Business Objects and joins across two (large) fact tables
In a business objects universe, I have several fact tables which are related by various dimensions. If I want to select facts from two of the fact tables, business objects will generate two separate queries, run the SQL and join the two results sets in th

Facts with different grain from different sources but related
Hi, I have a situation which I am trying to resolve but not able to Technologies Using : SQL Server and Analytics Services (SSAS) Background I have a flat file which is from the enterprise peoplesoft system and has the followings GL Account,

Multiple one to many facts
Trying to figure out how to model this with multiple one to many facts. I'm new to modeling so bear with me if this is simple. I think a picture speaks a thousand words so here is this: There's a few dimensions as well but those are easy

Facts or Dimension Attributes?
My company is currently building a data warehouse and I have a design issue that I am not sure how to address. In general, our business is selling an asset, such as the stock of a corporation, with a certain number of shares and a value. The value of th

Conformance of Dimension for facts aggregated at different levels
I am a newbie to Data Modeling. I am modeling a warehouse for Global reporting solution for a business operating in 3 countries. 2 business processes involved are "Sales" and "shipment Expenses" The input is sumarized excel files

Non-numeric Facts
My customers are challenging me..... They tell me that my reporting models are not flexible enough. I agree, but I am not sure how to approach this issue and give them what they need in a simple way. My products today offers 2 types of reporting today:

Something interesting (Off topic)
It night interest you to know that right now the forum has precisely 888 activity points... LOLZ

Have You Scrutinized The Facts About Juicing, Healthy Diet, Juicing For Better Health
By David Wellsford We are all very aware today the benefits of good nutrition, and the vitamins, and minerals that are necessary for our health. What do we know about juicing, healthy diet, juicing for better health? What does juicing mean? Making

Dimensions Directly Tied to Facts vs. Snowflaking
Hi all, Thanks in advance for your input on this. We are in the midst of a building out a portion of our data warehouse. The example here has to do with insurance data. Hopefully the discussion can be abstracted to a more generic modeling level. We