What are the benefits of database Normalisation?

The following are some of the advantages of data normalization: Reduces the amount of duplicated data. Ensures that data in the database is consistent. Database design that is more adaptable. Database security is improved. Execution that is better and faster.

Course Content

Introduction to MySQL

11m 32s

How to use LearnVern

3m 20s

MySQL Environment Setup

9m 48s

What is Data

8m 30s

What is Database

3m 25s

What is DBMS (Database Management System)

13m 54s

Introduction to SQL and its Query Types

16m 24s

MySQL - Numeric Datatypes

22m 41s

MySQL Constraints

10m 47s

MySQL - Create, Drop and Show Database

13m 40s

MySQL - Create Table Statement

13m 53s

MySQL - Insert and Select Statement With Like Clause

26m 21s

MySQL - Arithmetic and Logical Operators

6m 27s

MySQL - IN and NOT IN Clauses

7m 13s

MySQL - NULL and NOT NULL Clauses

4m 55s

MySQL - ORDER BY and LIMIT Clauses

9m 39s

MySQL - AS, CONCAT, DISTINCT, GROUP BY and HAVING Clauses with Aggregate Functions

21m 34s

MySQL - Update and Delete Statements

11m 34s

MySQL - Alter Table Statement

15m 29s

MySQL - Rename, Truncate and DROP Statements

6m 29s

MySQL - Foreign Key

15m 37s

MySQL - Joins

27m 45s

MySQL - View

17m 50s

MySQL - Function

21m 14s

MySQL - Stored Procedure

15m 3s

MySQL - Trigger

16m 8s

Database Normalization

16m 2s

Assignment : MySQL Database Management System

8m 56s

MySQL Interview Question Part 1

33m 7s

MySQL Interview Question Part 2

25m 23s

MySQL Interview Question Part 3

24m 27s

Course Summary

Quiz : MySQL Database Management System

40m

Database Normalization

MySQL Database Management System Database Normalization

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Course Content

Introduction to MySQL

11m 32s

How to use LearnVern

3m 20s

MySQL Environment Setup

9m 48s

What is Data

8m 30s

What is Database

3m 25s

What is DBMS (Database Management System)

13m 54s

Introduction to SQL and its Query Types

16m 24s

MySQL - Numeric Datatypes

22m 41s

MySQL Constraints

10m 47s

MySQL - Create, Drop and Show Database

13m 40s

MySQL - Create Table Statement

13m 53s

MySQL - Insert and Select Statement With Like Clause

26m 21s

MySQL - Arithmetic and Logical Operators

6m 27s

MySQL - IN and NOT IN Clauses

7m 13s

MySQL - NULL and NOT NULL Clauses

4m 55s

MySQL - ORDER BY and LIMIT Clauses

9m 39s

MySQL - AS, CONCAT, DISTINCT, GROUP BY and HAVING Clauses with Aggregate Functions

21m 34s

MySQL - Update and Delete Statements

11m 34s

MySQL - Alter Table Statement

15m 29s

MySQL - Rename, Truncate and DROP Statements

6m 29s

MySQL - Foreign Key

15m 37s

MySQL - Joins

27m 45s

MySQL - View

17m 50s

MySQL - Function

21m 14s

MySQL - Stored Procedure

15m 3s

MySQL - Trigger

16m 8s

Database Normalization

16m 2s

Assignment : MySQL Database Management System

8m 56s

MySQL Interview Question Part 1

33m 7s

MySQL Interview Question Part 2

25m 23s

MySQL Interview Question Part 3

24m 27s

Course Summary

FAQs

Database Normalization Examples: Database normalisation is the process of converting unstructured data to structured data. Database normalisation is structuring the tables and columns of the tables in such a way that data redundancy and complexity are reduced, and data integrity is improved.

The following are some of the advantages of data normalization:

Reduces the amount of duplicated data.
Ensures that data in the database is consistent.
Database design that is more adaptable.
Database security is improved.
Execution that is better and faster.

It is dependent on the application(s) that use the database. Normalized is generally a good thing for OLTP programmes (mostly data entry, with many INSERTs, UPDATEs, and DELETES, as well as SELECTs). Normalization isn't useful for OLAP and reporting apps.

The goal of normalising is to achieve a consistent and fine-grained structure in the steel. The method is used to ensure that the steel's mechanical properties are predictable and that the microstructure is predictable.

The process of structuring data in a database is known as normalisation. This includes generating tables and defining relationships between them according to rules aimed to secure data while also allowing the database to be more flexible by removing redundancy and inconsistent dependencies.