Data warehouses are highly DENORMALIZED, not normalized, for better query performance. Normalization (used in OLTP systems) reduces redundancy but requires many joins, which slows queries. Denormalization (used in data warehouses) increases redundancy but reduces joins, enabling faster analytical queries.