Type 3 Slowly Changing Dimension

In Type 3 Slowly Changing Dimension, there will be two columns to indicate the particular attribute of interest, one indicating the original value, and one indicating the current value. There will also be a column that indicates when the current value becomes active.

In our example, recall we originally have the following table:

Customer Key	Name	State
1001	Guru	Jharkhand

To accommodate Type 3 Slowly Changing Dimension, we will now have the following columns:

·        Customer Key

·        Name

·        Original State

·        Current State

·        Effective Date

After Guru moved from Jharkhand to Karnataka, the original information gets updated, and we have the following table (assuming the effective date of change is January 15, 2003):

Customer Key	Name	Original State	Current State	Effective Date
1001	Guru	Jharkhand	Karnataka	15-JAN-2003

Advantages:

- This does not increase the size of the table, since new information is updated.

- This allows us to keep some part of history.

Disadvantages:

- Type 3 will not be able to keep all history where an attribute is changed more than once. For example, if Guru later moves to Texas on December 15, 2003, the California information will be lost.

Usage:

It’s rarely used

When to use Type 3:

Type III slowly changing dimension should only be used when it is necessary for the data warehouse to track historical changes, and when such changes will only occur for a finite number of time.