Nulls in fact table

Handling Null Values in Fact Tables

Null values in fact tables can introduce challenges and inconsistencies in data analysis. It's essential to have a strategy for handling them effectively. 

Non additive fact table

Non-Additive Fact Tables: Understanding and Handling Them

Non-additive fact tables are those where the measures cannot be summed across any dimension. This typically occurs when the measures represent ratios, percentages, or averages. 

semi additive fact table with example tables

Semi-Additive Fact Tables: A Detailed Explanation

Semi-additive fact tables are those where the measures can be summed across some dimensions but not others. This occurs when the measure's meaning changes when aggregated across certain dimensions. 

Additivity types fact table

Additivity in Fact Tables

Additivity is a fundamental property of measures in a fact table. It refers to the ability of a measure to be summed or aggregated across different dimensions. There are three main types of additivity: 

Snowflake Schema

Snowflake Schema is a variation of the star schema in data warehousing. It's characterized by having multiple levels of dimension tables, forming a hierarchical or snowflake-like structure. This design is often used to reduce data redundancy and improve query performance in certain scenarios.