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Frequently Asked Questions

What is normalization and when should we use it?

What is Normalization? Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. Normalization rules divides larger tables into smaller tables and links them using relationships. The purpose of Normalisation in SQL is to eliminate redundant (repetitive) data and ensure data is stored ...

What does 'normalization' mean in the general sense?

What Does Normalization Mean? Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical,all related data items are stored together.

What are the disadvantages of normalization?

Disadvantages of normalization 1. More tables to join: By spreading out your data into more tables, you increase the need to join tables. 2. Tables contain codes instead of real data: Repeated data is stored as codes rather than meaningful data. Therefore, there is always a need to go to the lookup table for the value. 3.

What are some real-life examples of normalization?

Normalization is a process which is carried out to minimize/remove the anomalies in order to maintain the database's consistency. Example of normalization is given below: - Normalization or normalisation is carried out in following forms: In first normal form, the duplicate columns are removed.

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