Normalization Attribute Closure Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)

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FAQs on Normalization Attribute Closure Video Lecture - Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)

1. What is attribute closure in normalization?
Ans. Attribute closure in normalization refers to the set of attributes that can be derived from a given set of attributes in a relational database. It represents all the attributes that can be determined by the given set of attributes through functional dependencies.
2. How is attribute closure calculated in normalization?
Ans. Attribute closure is calculated using the Armstrong's axioms and the closure algorithm. The closure algorithm starts with the given set of attributes and iteratively adds attributes that can be derived from the existing set using functional dependencies until no more attributes can be added.
3. Why is attribute closure important in database normalization?
Ans. Attribute closure plays a crucial role in database normalization as it helps identify key attributes, functional dependencies, and dependencies among relations. It ensures that the database design is free from redundancy and anomalies, leading to a more efficient and organized database structure.
4. Can attribute closure be used to determine candidate keys in a relation?
Ans. Yes, attribute closure can be used to determine candidate keys in a relation. By calculating the closure of a set of attributes, we can identify if the closure contains all the attributes of the relation. If it does, the set of attributes is a candidate key.
5. How does attribute closure relate to functional dependencies in normalization?
Ans. Attribute closure is closely related to functional dependencies in normalization. Functional dependencies define the relationship between attributes in a relation, and attribute closure helps determine the attributes that can be derived from a given set of attributes using these functional dependencies. It ensures that all dependencies are properly identified and accounted for during the normalization process.
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