What are database anomalies and how can they be resolved?
Database anomalies are inconsistencies that can occur in a database due to various reasons, such as improper design. They can be categorized into three types: insertion, update, and deletion anomalies.
Can you explain each type of anomaly?
Sure! Insertion anomalies occur when certain data cannot be added to the database without the presence of other data. Update anomalies happen when changes to data require multiple updates across the database. Deletion anomalies arise when the deletion of data inadvertently removes other valuable information.
How can I prevent these anomalies in my database?
To prevent anomalies, you can use normalization techniques to organize your database structure, ensuring that data dependencies are properly managed.
What is normalization?
Normalization is the process of structuring a relational database to minimize redundancy and improve data integrity by dividing large tables into smaller ones and defining relationships between them.
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