Data warehousing mainly employs two types of schemas: star schema and snowflake schema. These schemas determine the arrangement of fact and dimension tables to enhance query performance and facilitate data analysis.

NuSummit utilizes data and analytics to convert raw data into valuable insights, and a key part of this methodology in data warehousing includes using different schemas—such as star, snowflake, and galaxy—to systematically arrange data for effective reporting and analysis. These schemas establish the logical organization of a data warehouse, enhancing query performance and making data retrieval easier for business intelligence tasks.