When working on a multidimensional design, every fact table within scope should be handled with care. In an ideal world, each low-level fact table represents the metrics related to a business event.

The grain of a fact table is derived by the dimensions with which the fact is associated. For example, should a fact have associations with a Day dimension, a Location dimension, a Customer dimension, ...

The Snowflake model uses normalised data, which means that the data is organised inside the database in order to eliminate redundancy and thus helps to reduce the amount of data. The hierarchy of the ...