In databases, normalization and denormalization are the two most used approaches.
By arranging fields and tables in databases, normalization helps to reduce data redundancy and dependence. It entails creating tables and establishing links between them according to predetermined principles. These principles may be used to reduce duplication and inconsistent dependencies, making them more adaptable.
Denormalization is the polar opposite of normalization. To speed up complicated searches involving several tables to join, we simply inject redundant data. By adding redundant data or clustering the data, we may improve the read speed of a database.