What is a key characteristic of Bridge tables compared to MappingFact tables?

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A key characteristic of Bridge tables is that they link to a single dimension table, effectively serving as a connector in complex relationships, often within a star schema or snowflake schema design. This linking function is crucial when handling many-to-many relationships between dimensions or categories in data modeling.

In contrast to MappingFact tables, which can connect multiple dimension tables and often contain aggregated measures or facts, Bridge tables simplify the relationship structure by focusing on a single dimension. This specificity helps manage and clarify the integration of data, ensuring that each record in a Bridge table relates directly to a specific dimension, enhancing data retrieval efficiency.

Understanding this distinction is vital for effectively navigating data architectures and ensuring accurate query results and reporting in a business intelligence context.

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