What are the common mistakes in database normalization?
An example of an AI chatbot conversation about common mistakes in database normalization.
What are the common mistakes in database normalization?
Some common mistakes include not removing redundant data, failing to identify functional dependencies, and over-normalizing.
Can you explain what over-normalizing means?
Over-normalizing occurs when a database is divided into too many tables, making it complex and inefficient for queries.
How can I avoid these mistakes when designing a database?
To avoid these mistakes, ensure you understand the data relationships, use normalization forms appropriately, and test your design.
What tools can help with database normalization?
Tools like MySQL Workbench, ER/Studio, and Lucidchart can help visualize and design normalized databases.
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