View Notes - 1NF, 2NF, 3NF and BCNF in Database Normalization _ Studytonight.pdf from COS 1511 at Faculty of Computer Science and Engineering. Normalization of Database Database …
Unformatted text preview: Normalization - 1NF, 2NF, 3NF and BCNF with Examples What Is Normalization in SQL? Normalization is the process to eliminate data redundancy and enhance …
View 1NF, 2NF, 3NF and BCNF in Database Normalization _ Studytonight.pdf from Science 2 at BMSPM's Ashokrao Mane Polytechnic. 3/8/2019 1NF, 2NF, 3NF and BCNF in Database …
Database Normalization - 1NF, 2NF, 3NF, BCNF, 4NF and 5NF with examples Normalization is a process of identifying the optimal grouping (relations at the end) for attributes that satisfies …
S.NO. | 2NF(Second Normal Form) | 3NF(Third Normal Form) |
---|---|---|
4. | Stronger normal form than 1NF but lesser than 3NF | Stronger normal form than 1NF and 2NF. |
What is Normalization? Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. Normalization rules divides larger tables into smaller tables and links them using relationships.
The inventor of the relational model Edgar Codd proposed the theory of normalization of data with the introduction of the First Normal Form, and he continued to extend theory with Second and Third Normal Form. Later he joined Raymond F. Boyce to develop the theory of Boyce-Codd Normal Form.
Note: Columns in a table that are NOT used to identify a record uniquely are called non-key columns.
We have introduced a new column called Membership_id which is the primary key for table 1. Records can be uniquely identified in Table 1 using membership id
Foreign Key references the primary key of another Table! It helps connect your Tables
The primary key must be given a value when a new record is inserted.
Rule 2- Single Column Primary Key that does not functionally dependant on any subset of candidate key relation
Database Normalization is a technique that helps in designing the schema of the database in an optimal manner so as to ensure the above points. The core idea of database normalization is to divide the tables into smaller subtables and store pointers to data rather than replicating it. For a better understanding of what we just said, here is a simple DBMS Normalization example:
The various forms of database normalization are useful while designing the schema of a database in such a way that there is no data replication which may possibly lead to inconsistencies. While designing the schema for applications, we should always think about how can we make use of these forms.
This is because if in a particular row, we change the name of the professor, we will also have to change the department value. As an example, suppose MA214 is now taken by Prof. Ronald who happens to be from the Mathematics department, the table will look like this:
Boyce-Codd Normal form is a stronger generalization of third normal form. A table is in Boyce-Codd Normal form if and only if at least one of the following conditions are met for each functional dependency A → B:
The primary key of the table should compose of exactly 1 column.
Here the second column is unique and it indicates the enrollment number for the student. Clearly, the enrollment number is unique. Now, we can attach each of these enrollment numbers with course codes.
There are various database “Normal” forms. Each normal form has an importance which helps in optimizing the database to save storage and to reduce redundancies.
To resolve this issue and to convert the entity into the 2NF, the table is split into two separate tables. By splitting the table, the partial functional dependency is removed and atomicity is achieved for both the tables (thus realizing 1NF in the process). Now, the column STORE LOCATION is completely dependent on the primary key, the STORE ID thereby achieving 2NF for the table under consideration.
At the higher levels of normalization, the teaching and use of database normalization slows down substantially mostly because most of the tables are in direct violation of the 4NF. A table that satisfies 4NF is hard to come by most of the business applications. A study proves that, as of now, over 20% of business processes contains tables that violates 4NF but successfully meets all lower forms of normalization.
The 5NF is also called the project-join normal form and is the highest level of normalization designed to reduce redundancy in relational databases which is done by recording multi-valued facts by isolating semantically related multiple relationships.
It was introduced by Ronald Fagin in 1977, after the Boyce-Codd Normal Form. The 4NF is basically concerned with a more general type of dependency known as a multivalued dependency and is different from 2NF, 3NF and BCNF and their functional dependencies.
A definition of first normal form makes reference to the concept of ‘atomicity’. It states that the domain should have values in the relation which are impossible to be broken down into smaller contents of data, with respect to DBMS. Codd defines an atomic value as one that “cannot be decomposed into smaller pieces.
An entity is said to be in the second normal form when it is already in 1NF and all the attributes contained within it are dependent solely on the unique identifier of the entity. In other words, it maintains two important criteria to be met in order to provide a normalized data with the second normal form tag.
The correct table complies with the first normal form criteria i.e., “each attribute of a table must have atomic values”. The extra contact numbers were removed to obtain the required form design.
Normalization is a process of organizing the data in database to avoid data redundancy, insertion anomaly, update anomaly & deletion anomaly. Let’s discuss about anomalies first then we will discuss normal forms with examples.
There are three types of anomalies that occur when the database is not normalized. These are – Insertion, update and deletion anomaly. Let’s take an example to understand this.
However, it is not in 2NF because non prime attribute teacher_age is dependent on teacher_id alone which is a proper subset of candidate key.
First normal form (1NF) As per the rule of first normal form, an attribute (column) of a table cannot hold multiple values. It should hold only atomic values. Example: Suppose a company wants to store the names and contact details of its employees. It creates a table that looks like this:
No non-prime attribute is dependent on the proper subset of any candidate key of table.
The table is not in BCNF as neither emp_id nor emp_dept alone are keys.
BCNF is stricter than 3NF. A table complies with BCNF if it is in 3NF and for every functional dependency X->Y, X should be the super key of the table. Example: Suppose there is a company wherein employees work in more than one department. They store the data like this:
So far, we have all gone through three database normalization forms.
Answer: Database Normalization is a design technique. Using this we can design or re-design schemas in the database to reduce redundant data and the dependency of data by breaking the data into smaller and more relevant tables.
The main purpose of applying the normalization technique is to reduce the redundancy and dependency of data. Normalization helps us to break down large tables into multiple small tables by defining a logical relationship between those tables.
Normalization increases data consistency as it avoids the duplicity of data by storing the data in one place only. Normalization helps in grouping like or related data under the same schema, thereby resulting in the better grouping of data. Normalization improves searching faster as indexes can be created faster.
Database normalization or SQL normalization helps us to group related data in one single table. Any attributive data or indirectly related data are put in different tables and these tables are connected with a logical relationship between parent and child tables.
Answer: Denormalization is a technique to increase the performance of the database. This technique adds redundant data to the database, contrary to the normalized database that removes the redundancy of the data.
By definition, an entity that does not have any repeating columns or data groups can be termed as the First Normal Form. In the First Normal Form, every column is unique.