9 Questions
Which type of normalization eliminates insertion, update, and deletion anomalies?
3NF
What is one of the advantages of normalization related to data structure?
More efficient data structure
Which advantage of normalization ensures that distinct tables exist when necessary?
Minimization of data duplication
What does normalization help in maintaining related to data structure?
Data redundancy
Which type of normalization puts data into tabular form by removing duplicated data from relation tables?
1NF
In the relation Employee(Emp_Id, Emp_Name, Emp_Address), which functional dependency can be represented?
Emp_Id $\rightarrow$ Emp_Name
In the context of functional dependency, what does it mean when attribute X functionally determines attribute Y in a relation?
Every value in X uniquely determines a value in Y
If a relation has a functional dependency X $\rightarrow$ Y, what can be inferred about the values of Y?
Each value of Y is associated with exactly one value of X
In the context of functional dependency, what does it mean if attribute X is not functionally dependent on attribute Y?
There can be no values of X for a single value of Y
Study Notes
Normalization
- BCNF (Boyce-Codd Normal Form) normalization eliminates insertion, update, and deletion anomalies.
- One of the advantages of normalization related to data structure is minimizing data redundancy.
Data Structure
- Normalization ensures that distinct tables exist when necessary, which is an advantage of avoiding data redundancy.
- Normalization helps in maintaining data integrity by reducing data redundancy and improving data consistency.
Types of Normalization
- 1NF (First Normal Form) normalization puts data into tabular form by removing duplicated data from relation tables.
Functional Dependency
- In the relation Employee(Emp_Id, Emp_Name, Emp_Address), the functional dependency Emp_Id → Emp_Name and Emp_Id → Emp_Address can be represented, meaning Emp_Id determines Emp_Name and Emp_Address.
- If attribute X functionally determines attribute Y in a relation, it means that the value of Y is determined by the value of X.
- If a relation has a functional dependency X → Y, it can be inferred that the value of Y is dependent on the value of X.
- If attribute X is not functionally dependent on attribute Y, it means that the value of Y is not determined by the value of X.
Test your knowledge of database design with this quiz on normalization. Explore the process of eliminating data redundancy and undesirable characteristics through the multi-step approach of normalization. Learn about the types of normalization - 1NF, 2NF, 3NF, 4NF, 5NF, and the advantages it offers for efficient data structuring.
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