To find redundant functional dependencies in a database, you can use the normalization process, which is the process of designing a database to reduce redundancy and eliminate anomalies. There are several normal forms that can be used to normalize a database, and redundant functional dependencies can be identified and removed in each normal form.

To identify redundant functional dependencies, you can follow these steps:

1. Identify the primary key: The primary key is a unique identifier for each record in a table, and it is used to enforce the uniqueness and integrity of the data in a table. The primary key can be a single attribute or a combination of attributes, and it is used to uniquely identify each record in a table.
2. Identify the determinant and dependent attributes: The determinant attribute is the attribute that determines the value of the dependent attribute. The dependent attribute is the attribute that is determined by the value of the determinant attribute.
3. Determine if the functional dependency is full or partial: A full functional dependency is a relationship between two attributes in a database where the value of the determinant attribute uniquely determines the value of the dependent attribute. A partial functional dependency is a relationship between two attributes in a database where the value of the determinant attribute determines the value of the dependent attribute, but the dependent attribute is not uniquely determined.
4. Check for transitive dependencies: A transitive dependency is a relationship between three attributes in a database where the value of attribute A determines the value of attribute B, and the value of attribute B determines the value of attribute C. If a transitive dependency exists, it means that the value of the dependent attribute is fully functionally dependent on another attribute, and the original functional dependency is redundant.
5. Normalize the data: To remove redundant functional dependencies, you can use the normalization process to design a database that is free of redundancy and anomalies. There are several normal forms that can be used to normalize a database, and redundant functional dependencies can be identified and removed in each normal form.

For example, to remove a redundant functional dependency in a database, you can use the second normal form (2NF), which is a normal form that requires that all attributes in a database are fully functionally dependent on the primary key. To apply 2NF, you can create a separate table for the dependent attribute and link it to the determinant attribute using a foreign key. This will remove the redundant functional dependency and ensure that the data in the database is in 2NF.

In summary, to find redundant functional dependencies in a database, you can use the normalization process to identify the primary key, determinant and dependent attributes, and transitive dependencies. You can then use normal forms such as 2NF to remove the redundant functional dependencies and ensure that the data in the database is free of redundancy and anomalies.