Q: Match the following terms and definitions. - composite attribute
Match the following terms and definitions. - composite attribute - associative entity - unary relationship - weak entity - attribute - entity - relationship type - cardinality constraint - degree - id...
See AnswerQ: For the Manages relationship in Figure 2-12a, describe one
For the Manages relationship in Figure 2-12a, describe one or more situations that would result in different cardinalities on the two ends of this unary relationship. Based on your description for thi...
See AnswerQ: Explain any two characteristics of a good business rule.
Explain any two characteristics of a good business rule.
See AnswerQ: Why is time stamping considered an important part of the data modeling
Why is time stamping considered an important part of the data modeling process?
See AnswerQ: Contrast the following terms: a. stored attribute; derived
Contrast the following terms: a. stored attribute; derived attribute b. minimum cardinality; maximum cardinality c. entity type; relationship type d. strong entity type; weak entity type e. degree; ca...
See AnswerQ: Give four reasons why many system designers believe that data modeling is
Give four reasons why many system designers believe that data modeling is important and arguably the most important part of the systems development process.
See AnswerQ: Give four reasons why a business rules approach is advocated as a
Give four reasons why a business rules approach is advocated as a new paradigm for specifying information systems requirements.
See AnswerQ: What are the characteristics of good business rules?
What are the characteristics of good business rules?
See AnswerQ: Martin is encouraged by the progress you have made so far.
Martin is encouraged by the progress you have made so far. As promised, he forwards you an email from one of the key members of his staff, Pat Smith (an artist manager). He also provide you with an e-...
See AnswerQ: State six general guidelines for naming data objects in a data model
State six general guidelines for naming data objects in a data model.
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