Why is the data model hierarchical?
A data model is a hierarchical structure with a root data set and sub data sets.
It's a sudden thought today, but if the data composition of the upper root data set is changed, the lower data set is also affected.
If this happens, wouldn't the lower data depend on the upper data every time and be vulnerable to change?
I don't know why the structure is like this.
Inheriting the characteristics of the data itself creates a dependency, which then has to be changed every time.
For example, when the type of equipment is replaced, the composition of the field changes each time, and the data model must also change each time. (everything below)
I don't know if this is efficient.
Why are data models designed as hierarchical?
