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Continued of normalization is a process of organizing the data in database to avoid data redundancy, insertion anomaly, update anomaly & deletion anomaly. Let's discuss anomalies first then we will
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How to fill out need of normalisation need

01
To fill out the need of normalisation, follow these steps:
02
Identify the table or database that needs to be normalized.
03
Analyze the dependencies and relationships between the attributes and tables.
04
Break down the data into smaller, more manageable units by removing any redundant or duplicate data.
05
Use normalization techniques like 1NF, 2NF, 3NF, BCNF, etc., to organize the data and eliminate any anomalies.
06
Ensure that each attribute is dependent on the primary key and not on any non-key attribute.
07
Verify the normalization process by testing the data for any inconsistencies or dependencies.
08
Repeat the normalization process if necessary to achieve a higher level of normalization.
09
Document the normalization process and make sure the data is easily understandable and accessible to others.

Who needs need of normalisation need?

01
Anyone dealing with relational databases or managing large amounts of data can benefit from the need of normalization.
02
Database administrators, data analysts, and developers who design and maintain databases often utilize normalization to ensure data integrity and optimize performance.
03
Companies and organizations with complex and interconnected data structures need normalization to avoid data redundancy, inconsistency, and anomalies.
04
In essence, anyone who wants to improve data organization, reduce data duplication, and enhance overall database efficiency can benefit from the need of normalization.
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Normalization is needed to organize data in a database to reduce redundancy and improve data integrity.
Database administrators or developers are required to implement normalization in a database.
Normalization is achieved by dividing data into separate tables and connecting them with relationships.
The purpose of normalization is to minimize duplicate data, avoid data anomalies, and ensure data integrity.
Information such as table structure, primary keys, foreign keys, and relationships must be reported in normalization.
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