Types of Fact Tables
Fact tables are the core component of a data warehouse, storing quantitative measurements or facts about business processes. They can be categorized into three main types based on their characteristics and update frequency:
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Types of Fact Tables
Fact tables are the core component of a data warehouse, storing quantitative measurements or facts about business processes. They can be categorized into three main types based on their characteristics and update frequency:
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 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 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 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: