EBK DATABASE CONCEPTS
7th Edition
ISBN: 9780133777840
Author: AUER
Publisher: VST
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Chapter 4, Problem 4.11RQ
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Identifier:
Identifier is an attribute which is used to uniquely identify a particular entity instances from an entity.
Note: An entity instance is an occurrence of a particular entity.
Composite identifier:
Composite identifier is combinations of two or more attributes in an entity that can be uniquely identify each instance in the entity...
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The word "Identifier attribute" seems to be thrown about a lot without a
clear definition.
Why must some identifiers be composite rather than simple?
To be more clear, what do you mean when you say "interpolation of characteristics"?
Chapter 4 Solutions
EBK DATABASE CONCEPTS
Ch. 4 - Prob. 4.1RQCh. 4 - Prob. 4.2RQCh. 4 - Prob. 4.3RQCh. 4 - What is a use case, and what is its purpose?Ch. 4 - Give an example of a data constraint.Ch. 4 - Prob. 4.6RQCh. 4 - Define the term entity, and give an example other...Ch. 4 - Explain the difference between an entity class and...Ch. 4 - Define the term attribute, and give examples for...Ch. 4 - Define the term identifier, and indicate which...
Ch. 4 - Prob. 4.11RQCh. 4 - Prob. 4.12RQCh. 4 - Prob. 4.13RQCh. 4 - Prob. 4.14RQCh. 4 - List and give an example of the three types of...Ch. 4 - Prob. 4.16RQCh. 4 - Prob. 4.17RQCh. 4 - Prob. 4.18RQCh. 4 - Define the term weak entity, and give an example...Ch. 4 - Explain the ambiguity in the definition of the...Ch. 4 - Define the term associative entity, and give an...Ch. 4 - Define the terms supertype, subtype, and...Ch. 4 - What is an exclusive subtype relationship? Give an...Ch. 4 - What is an inclusive subtype relationship? Give an...Ch. 4 - Prob. 4.25RQCh. 4 - Prob. 4.26RQCh. 4 - Prob. 4.27RQCh. 4 - Prob. 4.28RQ
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- Draw an ERD for the following situation (Batra et al., 1988). Also, develop the list of words for qualifiers and classes that you use to form attribute names. Explain whyarrow_forwardIn the context of data binding, what is meant by "observable objects" and why are they important? Give an example of their usage.arrow_forwardExplain the concept of two-way data binding in more detail and provide examples of situations where it is particularly useful.arrow_forward
- Let's imagine you want to train and evaluate a classifier with just a little quantity of data. To evaluate the classifier, what method would you use? Why?arrow_forwardIn order to declare a variable, "type" alone is not sufficient. To phrase this another way, each variable has both a data type as well as some other form of attribute. This idea enables us to represent the characteristics of any variable; but, how can we put it to use?arrow_forwardThe term "interpolation of attributes" is a little vague.arrow_forward
- For simplicity, subtype discriminators were left off many figures in this chapter. Add subtype discriminator notation in each figure listed below. If necessary, create a new attribute for the discriminator.arrow_forwardExplore the concept of two-way data binding in depth, including its advantages and potential drawbacks.arrow_forwardYour department is interested in keeping track of information aboutmajors. Design a data structure that will maintain useful information for yourdepartment. The roster of majors, of course, should be ordered by last name(and then by first, if there are multiple students with the same last name).Your department is interested in keeping track of information aboutmajors. Design a data structure that will maintain useful information for yourdepartment. The roster of majors, of course, should be ordered by last name(and then by first, if there are multiple students with the same last name).Your department is interested in keeping track of information aboutmajors. Design a data structure that will maintain useful information for yourdepartment. The roster of majors, of course, should be ordered by last name(and then by first, if there are multiple students with the same last name).arrow_forward
- What precisely does the term "Identifier attribute" mean?arrow_forwardWhat 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?arrow_forwardLet's say you wish to train and assess a classifier using just a little amount of data. Which approach would you use to assess the classifier? Why?arrow_forward
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