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The star schema is a popular schema design used in data warehousing because it simplifies complex queries and enhances performance, especially for Online Analytical Processing (OLAP). In a star schema, a central fact table (storing metrics) is surrounded by dimension tables (storing descriptive attributes). The structure is simpler compared to more complex schema designs like snowflake schemas, and the reduced number of joins leads to faster query performance, which is crucial for OLAP systems. This schema enables easy data retrieval because the dimension tables are denormalized, meaning there are fewer joins and faster processing of aggregations and filtering. This efficiency is critical when performing data analysis, as OLAP queries often involve large volumes of data and need to be optimized for speed. The star schema also helps in creating intuitive and easy-to-understand data models for end-users. Why Other Options Are Incorrect:
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