Overview
• A multidimensional storage model involves two kind of tables:
1. Dimension tables
2. Fact tables
Fact Tables: A fact table contains the fact data of business like sales amount, quantity, customers and reference keys to dimension tables.
· Dimension Tables:
· A dimension table holds the data that we use to group the value to derive summary.
· A dimension table has primary key.
E.g. Customer table has information about city, state and zip code to summaries geographically sales. A dimension table contains the more detailed information of fact data like product details, customer details, store details etc.
· The fact table mainly holds transaction data.
· E.g. fact table data shows units amount and sold quantities.
What are Fact and Dimension tables?
Posted by Chirag at Wednesday, January 27, 2010 33 comments
Data Modelling for Data Warehousing
Overview
Data Cubes = A data which are available in multidimensional matrices is called Data Cubes.
· A excel sheet is a two dimensional matrix, it can have sales revenue of corresponding geographical regions.
· Change process of converting one dimensional to another in the data cube is called pivoting.
• In pivoting, the data cube can rotate to see the data in different orientation.
• So, this technique is equivalent to product sales table by region.
• There are two kinds of Hierarchical views of multidimensional models:
1. Roll-up display
In the Roll-up display the hierarchy will move up and it will group into the larger units.
E.g.: Weekly data summation by quarter and by then by year.
2. Drill-down display
In the Drill-down display it will have opposite view.
E.g. dividing the region sales into sub-region and then again dividing sub-region sales country specific sales.
Posted by Chirag at Wednesday, January 27, 2010 0 comments
Labels: Data Modelling . Roll up display . Drill down display .