Database Normalisation Questions Medium
Data redundancy refers to the duplication of data within a database. In the context of database normalization, data redundancy is considered undesirable as it can lead to several issues.
Firstly, redundant data takes up unnecessary storage space within the database. This can result in increased storage costs and inefficient use of resources. Additionally, redundant data can lead to inconsistencies and inaccuracies in the database. If the same data is stored in multiple places, any updates or modifications to that data need to be made in all instances, which increases the chances of errors and inconsistencies.
Furthermore, redundant data can also impact the performance of the database. When redundant data is present, it requires more time and resources to retrieve and manipulate the data. This can slow down the overall performance of the database and negatively impact the efficiency of queries and operations.
Database normalization aims to eliminate or minimize data redundancy by organizing data into separate tables and establishing relationships between them. By breaking down data into smaller, more manageable units and linking them through relationships, redundant data can be avoided. This not only reduces storage requirements but also ensures data consistency and improves database performance.
In summary, data redundancy in database normalization refers to the duplication of data within a database, which can lead to increased storage costs, inconsistencies, inaccuracies, and performance issues. Database normalization techniques are employed to eliminate or minimize data redundancy and improve the overall efficiency and reliability of the database.