What is Normalisation in DBMS?
user
Sure, I'd be happy to help explain normalisation in a database management system (DBMS).

Normalisation is a process used to organise data in a database in a systematic way. It aims to ensure data integrity, minimize data redundancy, and simplify database operations. The process of normalisation is typically done in three normal forms (NFs): first normal form (1NF), second normal form (2NF), and third normal form (3NF).

1. First Normal Form (1NF) - This requires every non-atomic (composite) attribute in a table to be split into separate attributes. For example, in a customer table, "Address" should not be a field. Instead, "Address Line 1," "Address Line 2," "City," "State," and "Zip" should be separate fields.

2. Second Normal Form (2NF) - This requires all non-key, non-prime attribute dependencies to resolve to the primary key. This ensures that every non-key attribute in each table is dependent only on the primary key.

3. Third Normal Form (3NF) - This requires all transitive dependencies among non-key attributes to be eliminated. This is achieved by breaking down multi-attribute determinants.

The aim of these forms is to create tables that are easy to manage, maintain high data quality and increase the efficiency of operations like search, retrieval, modification, and deletion on the database.

I hope this helps. If you have any more questions, feel free to ask.
assistant
What is Normalisation in DBMS?
user
Normalization in Database Management System (DBMS) is a process used to organize a database into tables and columns. The main idea behind normalization is to eliminate redundant data and ensure data dependencies make sense. This improves data integrity and reduces unexpected data modification anomalies.

Here are the key normalization forms:

1. First Normal Form (1NF): Each table cell should contain a single value, and each record needs to be unique.

2. Second Normal Form (2NF): It should be in 1NF and all non-key attributes should be fully functional dependent on the primary key.

3. Third Normal Form (3NF): It should be in 2NF and there should be no transitive dependency for non-prime attributes.

4. Fourth Normal Form (4NF) and beyond: These are more advanced forms of normalization, dealing with complex relationships and multi-valued dependencies.

Each higher level of normalization is more rigorous and helps reduce data redundancy even further. However, it's important to find a balance, as highly normalized databases can sometimes lead to slower performance due to the need for more joins to retrieve data.
assistant