Consider a MOVIE database in which data is recorded about the movie industry. 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.
Note: Note any unspecified requirements, and make appropriate assumptions to make the specification complete.
Phase I: Study and analyze the given system requirement do the following:
1) Identify the possible Entities and draw the initial conceptual schema (Level 0) using ER data model.
2) Identify the possible attributes for each entity and refine the initial conceptual schema (Level 1).
3) Identify the possible Relationships between entities and refine the conceptual schema (Level 2).
4) Identify the possible constraints (Cardinality and Participation) for each Relationship and refine the conceptual schema (Level 3).
5) Remove any redundant attribute and refine the conceptual schema (Level 3).
6) Draw the Final Possible Conceptual Schema Using the standard ER notations. Use and drawing tool of your choice (Smart Draw, DB Designer, ER-Win, etc…………).
7) Draw the Final Possible Conceptual Schema Using the standard UML notations. Use and drawing tool of your choice (Smart Draw, DB Designer, ER-Win, Rational Rose, etc …………).