What are some of the first things that spring to your mind when you hear the phrase "data abstraction"? How can a dataset that has been collected be broken down into the individual parts that make up the whole utilizing the many methods that are available?

It is possible to build what is known as an abstract data type (ADT) by defining it in terms of other data structures that are already in existence. What are some of the advantages of using ADTs? How does one's genetic makeup affect their ability to solve problems?

What associations do you have in your mind when you hear the word "data abstraction"? How may a dataset be broken down into its component parts using the many methods available?

What does the word "data abstraction" mean to you? How may a dataset be subdivided?

What benefits does data binding offer in terms of code maintainability?

In what ways does a Data Manipulation Language serve its intended purpose?

When you hear the term "data abstraction," what do you think of? How can you break down a data set?

The idea of abstract data types (ADTs) is hazy. What are the advantages of using ADTs? How can the concept of heredity aid in problem-solving?

I want you in your own words to explain Data abstraction vs Procedural abstraction.  When would we use data or procedural?  What role do they play in computer programming?  How can you identify the two?