From a space storage point of view, dimensional tables are typically small compared to fact tables. This often negates the potential storage-space benefits of the star schema as compared to the snowflake schema. Example: One million sales transactions in 300 shops in 220 countries would result in 1,000,300 records in a star schema (1,000,000 records in the fact table and 300 records in the dimensional table where each country would be listed explicitly for each shop in that country). A more normalized snowflake schema with country keys referring to a country table would consist of the same 1,000,000 record fact table, a 300 record shop table with references to a country table with 220 records. In this case, the star schema, although further denormalized, would only reduce the number or records by a (negligible) factor of ~0.9998 (=divided by [1,000,000+300+220)