4th and 5th Normal Form

Q.1: What is the difference between 4NF and 5NF in DBMS?

Answer:

A relation is in 5NF if it satisfies the properties of 4NF and has a lossless join and does not having any join dependency.

Q.2: What is the 6th Normal Form?

Answer:

Whenever the temporal data vary so much just for avoiding the undesired duplication, it is termed as 6th Normal Form.



Introduction of 4th and 5th Normal Form in DBMS

Two of the highest levels of database normalization are the fourth normal form (4NF) and the fifth normal form (5NF). Multivalued dependencies are handled by 4NF, whereas join dependencies are handled by 5NF.

If two or more independent relations are kept in a single relation or we can say multivalue dependency occurs when the presence of one or more rows in a table implies the presence of one or more other rows in that same table. Put another way, two attributes (or columns) in a table are independent of one another, but both depend on a third attribute. A multivalued dependency always requires at least three attributes because it consists of at least two attributes that are dependent on a third. 

For a dependency A -> B, if for a single value of A, multiple values of B exist, then the table may have a multi-valued dependency. The table should have at least 3 attributes and B and C should be independent for A ->> B multivalued dependency. 

Example:

Person Mobile Food_Likes
Mahesh 9893/9424 Burger/Pizza
Ramesh 9191 Pizza
Person->-> mobile,
Person ->-> food_likes

This is read as “person multi determines mobile” and “person multi determines food_likes.” 
Note that a functional dependency is a special case of multivalued dependency. In a functional dependency X -> Y, every x determines exactly one y, never more than one.

Similar Reads

Fourth Normal Form (4NF)

The Fourth Normal Form (4NF) is a level of database normalization where there are no non-trivial multivalued dependencies other than a candidate key. It builds on the first three normal forms (1NF, 2NF, and 3NF) and the Boyce-Codd Normal Form (BCNF). It states that, in addition to a database meeting the requirements of BCNF, it must not contain more than one multivalued dependency....

Join Dependency

Join decomposition is a further generalization of Multivalued dependencies. If the join of R1 and R2 over C is equal to relation R then we can say that a join dependency (JD) exists, where R1 and R2 are the decomposition R1(A, B, C) and R2(C, D) of a given relations R (A, B, C, D). Alternatively, R1 and R2 are a lossless decomposition of R. A JD ⋈ {R1, R2, …, Rn} is said to hold over a relation R if R1, R2, ….., Rn is a lossless-join decomposition. The *(A, B, C, D), (C, D) will be a JD of R if the join of joins attribute is equal to the relation R. Here, *(R1, R2, R3) is used to indicate that relation R1, R2, R3 and so on are a JD of R. Let R is a relation schema R1, R2, R3……..Rn be the decomposition of R. r( R ) is said to satisfy join dependency if and only if...

Fifth Normal Form/Projected Normal Form (5NF)

A relation R is in Fifth Normal Form if and only if everyone joins dependency in R is implied by the candidate keys of R. A relation decomposed into two relations must have lossless join Property, which ensures that no spurious or extra tuples are generated when relations are reunited through a natural join....

Conclusion

Multivalued dependencies are removed by 4NF, and join dependencies are removed by 5NF. The greatest degrees of database normalization, 4NF and 5NF, might not be required for every application. Normalizing to 4NF and 5NF might result in more complicated database structures and slower query speed, but it can also increase data accuracy, dependability, and simplicity....

FAQs on 4th and 5th Normal Form

Q.1: What is the difference between 4NF and 5NF in DBMS?...