The data requirements are summarized as follows: Each movie is identified by title and year of release. Each movie has a length in minutes. Each has a production company, and each is classified under one or more genres (such as horror, action, drama, and so forth). Each movie has one or more directors and one or more actors appear in it. Each movie also has a plot outline. Finally, each movie has zero or more quotable quotes, each of which is spoken by a particular actor appearing in the movie. Actors are identified by name and date of birth and appear in one or more movies. Each actor has a role in the movie. Directors are also identified by name and date of birth and direct one or more movies. It is possible for a director to act in a movie (including one that he or she may also direct). Production companies are identified by name and each has an address. A production company produces one or more movies. Q: Suppose a single relation “Movie” which contains all attributes of all entities in Q2. Now apply the rules of normalization on the “Movie” relation to convert it into 1NF, 2NF and then 3NF. Note that for each step the relation may be split into more than one smaller relations. Present the complete schema along with primary keys and foreign keys of each relation at each step. Also deduce the functional dependencies at each step of normalization.
The data requirements are summarized as follows: Each movie is identified by title and year of release. Each movie has a length in minutes. Each has a production company, and each is classified under one or more genres (such as horror, action, drama, and so forth). Each movie has one or more directors and one or more actors appear in it. Each movie also has a plot outline. Finally, each movie has zero or more quotable quotes, each of which is spoken by a particular actor appearing in the movie. Actors are identified by name and date of birth and appear in one or more movies. Each actor has a role in the movie. Directors are also identified by name and date of birth and direct one or more movies. It is possible for a director to act in a movie (including one that he or she may also direct). Production companies are identified by name and each has an address. A production company produces one or more movies. Q: Suppose a single relation “Movie” which contains all attributes of all entities in Q2. Now apply the rules of normalization on the “Movie” relation to convert it into 1NF, 2NF and then 3NF. Note that for each step the relation may be split into more than one smaller relations. Present the complete schema along with primary keys and foreign keys of each relation at each step. Also deduce the functional dependencies at each step of normalization.
Chapter6: Managing Multiple Worksheets And Workbooks
Section: Chapter Questions
Problem 2.10CP
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The data requirements are summarized as follows:
- Each movie is identified by title and year of release. Each movie has a length in minutes. Each has a production company, and each is classified under one or more genres (such as horror, action, drama, and so forth). Each movie has one or more directors and one or more actors appear in it. Each movie also has a plot outline. Finally, each movie has zero or more quotable quotes, each of which is spoken by a particular actor appearing in the movie.
- Actors are identified by name and date of birth and appear in one or more movies. Each actor has a role in the movie.
- Directors are also identified by name and date of birth and direct one or more movies. It is possible for a director to act in a movie (including one that he or she may also direct).
- Production companies are identified by name and each has an address. A production company produces one or more movies.
Q:
Suppose a single relation “Movie” which contains all attributes of all entities in Q2. Now apply the rules of normalization on the “Movie” relation to convert it into 1NF, 2NF and then 3NF. Note that for each step the relation may be split into more than one smaller relations. Present the complete schema along with primary keys and foreign keys of each relation at each step. Also deduce the functional dependencies at each step of normalization.
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