Normalization - Types, benefits and Importance
Normalization is a concept used in various fields, including statistics, data science, database management, and machine learning, to refer to the process of transforming data into a standard format or scale. The overarching goal of normalization is to make data more manageable, consistent, and suitable for analysis, comparison, and processing. In this article, we will discuss normalization from multiple perspectives, particularly focusing on data normalization in databases, machine learning, and statistics. 1. Normalization in Databases Normalization in the context of relational databases refers to the process of organizing data to reduce redundancy and improve data integrity. It is a technique used to design a database schema efficiently, ensuring that data is stored in a way that minimizes the chances of anomalies (like insert, update, and delete anomalies). The process of normalization involves breaking down a large, complex table into smaller, more manageable tables and defining re...