Data Warehouse Developer Question:
Tell us what is level of Granularity of a fact table?
Answer:
A fact table is usually designed at a low level of Granularity. This means that we need to find the lowest level of information that can store in a fact table.
e.g.Employee performance is a very high level of granularity. Employee_performance_daily, employee_perfomance_weekly can be considered lower levels of granularity.
The granularity is the lowest level of information stored in the fact table. The depth of data level is known as granularity. In date dimension, the level could be year, month, quarter, period, week, day of granularity.
The process consists of the following two steps:
☛ Determining the dimensions that are to be included
☛ Determining the location to locate the hierarchy of each dimension of information. The above factors of determination will be resent to the requirements.
e.g.Employee performance is a very high level of granularity. Employee_performance_daily, employee_perfomance_weekly can be considered lower levels of granularity.
The granularity is the lowest level of information stored in the fact table. The depth of data level is known as granularity. In date dimension, the level could be year, month, quarter, period, week, day of granularity.
The process consists of the following two steps:
☛ Determining the dimensions that are to be included
☛ Determining the location to locate the hierarchy of each dimension of information. The above factors of determination will be resent to the requirements.
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