Final answer:
Normalization is a process used in database design to reduce data redundancy and improve data integrity through the organization of data into tables and the establishment of relationships between them.
Step-by-step explanation:
The process of normalization is indeed used to eliminate redundant data within a database. The goal of normalization is to reduce data redundancy and improve data integrity. This is achieved by organizing data into tables and establishing relationships between these tables based on a set of established principles known as normal forms. By doing so, duplication of information is minimized, changes in data are handled more efficiently, and the database maintains accuracy and consistency over time. The various normal forms (1NF, 2NF, 3NF, and so on) each address a particular type of redundancy or design issue within the database.
For example, in a non-normalized database, customer information might be stored in multiple places. With normalization, this information would be stored once in a customer table and referenced elsewhere via a unique identifier, such as a customer ID. This not only saves space but also ensures that updates to customer information need to be made in just one place, reducing the risk of inconsistent data.