How can you use a bridge table in data warehousing?
Data warehousing is a process of collecting, integrating, and analyzing data from various sources to support business intelligence and decision making. A data warehouse typically consists of multiple tables that store different types of information, such as facts, dimensions, and measures. However, some data warehouse scenarios may require more complex relationships between tables, such as many-to-many or multivalued associations. In such cases, a bridge table can be a useful design pattern to simplify the data model and improve the query performance.