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. 

What is star schema and explain with example

Star Schema: A Fundamental Data Warehouse Design

A star schema is a common data warehouse design pattern where a central fact table is surrounded by multiple dimension tables. This structure facilitates efficient data analysis and reporting by organizing data into a hierarchical format. 

Facts and dimensions in dimensional modeling

Facts in dimensional modeling are the quantitative measurements or metrics that you want to analyze. They represent the core business processes or events that you're tracking.