In last tutorial , we have gone through some of the basic concept of data warehouse , what exactly data warehouse store ,importance of data warehouse. We also saw various properties of data warehouse. Data warehouse mainly consists of Dimension and Fact tables. We will go through different type of dimension mainly used in data warehouse in upcoming articles. In below article we will go through the Junk Dimension in dataware house with some example , why they are important.Hope you will enjoy this small data warehouse tutorial.
Junk Dimension in Data warehouse
A junk dimension is grouping of low cardinality flags and indicators. This junk dimension helps in avoiding cluttered design of data warehouse. Provides an easy way to access the dimensions from a single point of entry and improves the performance of sql queries.
For example : For example, assume that there are two dimension tables (gender and marital status). The data of these two tables are shown below:
I found a good article on junk dimension in data ware house here
I also found some good article on other various type of dimension as well.
No comments:
Post a Comment