Types Of Facts In Data Warehouse

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1. Addictive Type:

Measurements in a fact table that can be summed up across all dimensions

Consider the following retail fact table:

Addictive Type
Store wise sales

Store wise sales

Product-wise
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sales

Product wise sales

 

Daily Sales

Daily Sales

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2. Semi Addictive Fact:

Measurements in a fact table that can be summed up across only a few dimensions keys Following table is used to record current balance and profit margin for each id at a particular instance of time (Day end)

Semi Addictive Fact

In the above table, we cannot sum up current balance across Acct Id

If we ask balance for Id 21653 we will say that 22000, not 22000+80000

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3. Non-addictive fact:

Facts that cannot be summed up across any dimension key

Note: % and ratio columns are non-addictive facts

Related Blog: Snowflake vs Redshift

4. Factless fact table:

A fact table without any measures is called the factless fact table

  • It contains only keys

  • It acts as a bridge between dimension keys

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Last updated: 03 Apr 2023
About Author

Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.

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