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For every n-ary relationship type R where n>2, we make a new table S to represent R. We contain as foreign key attributes in s the primary keys of the relations that show the participating entity types. We also contain any easy attributes of the n-ary relationship type (or easy components of complete attributes) as attributes of S. The primary key of S is generally a combination of all the foreign keys that reference the relations showing the participating entity types. Figure is a special case of n-ary relationship: a binary relation.
Define physical and logical data independence. How does this architecture help in achieving these? Data independence entails that change in one view must not need a change in t
In Database software have only pure security or some dis secured by administrator?
A Data Model in software engineering is an abstract model that organizes and documents the business data for interaction between team members and is used as a plan for creating
Illustrate about the advanced object design Advanced object design is a complex task. The objects discovered through analysis serve as a skeleton of design. The operations reco
Cardinality shows the number of instances of an entity associated with another entity participating in a relationship. Depend on the cardinality binary relationship can be further
Determine the benefits of Object oriented design OOD also gives reusability, which saves time, costs and productivity gains through direct mapping to properties of Object-Orie
Consider the 1ollowin8 relation: CAR SALE (Car_id, Option_type, Option_listprice, Sale_date, Option_discountedprice) This relation refers to options installed in cars (e.g., crui
Define cardinality and participation constraints on a relationship type, completeness constraint on generalization. Ans: Cardinality defines the number of entities to wh
Competition entrants can be either Individuals, or Teams. A Team is usually sponsored by a business, and, in that case, the team members would all wear T-shirts with the sponsoring
State your technical objectives for mining the data. Data Understanding. Describe the data For each attribute, give its description and data type. For numeric attributes
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