Database Normalisation
Posted on November 13, 2024 (Last modified on May 26, 2025) • 2 min read • 365 wordsVideo is in Swedish
In today’s digital age, databases play a crucial role in storing and managing vast amounts of data. As the volume of data continues to grow, it becomes essential to ensure that databases are designed and organized in a way that makes them efficient, scalable, and easy to maintain. One of the most effective ways to achieve this is through database normalization.
Database normalization is the process of organizing the tables in a relational database to minimize data redundancy and dependency. It involves dividing large tables into smaller, more focused tables, and establishing relationships between them using keys. The goal of normalization is to ensure that each piece of data is stored in one place and one place only, making it easier to maintain and update the database.
There are several reasons why database normalization is important:
There are several types of database normalization, including:
Database normalization is a crucial step in designing and maintaining efficient, scalable, and easy-to-maintain databases. By reducing data redundancy, improving data integrity, enhancing scalability, and simplifying maintenance, normalization helps ensure that databases can handle the demands of modern data management. Whether you’re working with small or large datasets, database normalization is an essential technique to master for any data professional.
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