When you say you understand "Data Modeling," what do you mean exactly?

The definition of a variable must contain not just the variable's name, but also its "type" and "additional attributes." That is to say, all variables have characteristics beyond just their data type. Explain in further detail the idea that will eventually let us describe any variable with greater precision.

In computer systems, conceptual data models are a kind of data model with a major focus on concepts.

How do variables and attributes differ in three paragraphs?

What what do you mean when you mention "data pruning"?

When we say "scope," what do we mean exactly?

It is not enough to just name a variable; the definition must additionally provide the variable's "type" and "extra characteristics." To reiterate, each variable is distinguished from others by characteristics that are independent of the data type. We would be really appreciative if you could explain the idea that would enable us to exactly describe any given variable.

If adding a data object to a data model isn't recommended, why is that the case?

What good does it do to leave a data item out of a data model?

How does the distinction between the independence of the data and the independence of the structure reveal itself?