Data Warehousing Questions
Data warehouse schema denormalization refers to the process of restructuring a database schema in a way that reduces the number of joins required to retrieve data from the data warehouse. It involves combining multiple tables into a single table or duplicating data across tables to improve query performance and simplify data retrieval. Denormalization is commonly used in data warehousing to optimize query performance and improve overall system efficiency.