Question
Consider the relation:
Dataset(DatasetID, DatasetName, Source, CollectionDate, Domain, OwnerName, OwnerEmail,
UpdateFrequency)
Identify the primary key
List meaningful functional dependencies
Answer :
Word Count : 637
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Skip in 10
In the given relation Dataset(DatasetID, DatasetName, Source, CollectionDate, Domain, OwnerName, OwnerEmail, UpdateFrequency), the attributes represent information about different datasets. A functional dependency (FD) describes a relationship in which the value of one attribute or a group of attributes uniquely determines the value of another attribute or group of attributes. Identifying the primary key and meaningful functional dependencies is important for maintaining data integrity and reducing redundancy in a relational database. The most appropriate primary key for the Dataset relation is DatasetID. DatasetID is expected to uniquely identify each dataset in the database. Since every dataset should have a distinct identifier, no two tuples should have the same DatasetID. Therefore, DatasetID functionally determines all the other attributes in the relation: DatasetID → DatasetName, Source, CollectionDate, Domain, OwnerName, OwnerEmail, UpdateFrequency This means that once a particular DatasetID is known, all information associated with that dataset can be determined. DatasetID is therefore a candidate key and, when selected as the identifier for the relation, it becomes the primary key. It should be unique and should not contain NULL values. Several meaningful functional dependencies can be identified from the semantics of the attributes. The first
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