What are the downsides of normalization in databases?
Normalization can lead to increased complexity and may impact performance due to the need for multiple joins.
Can you explain how it affects query performance?
Sure! When data is highly normalized, queries often require multiple joins, which can slow down performance.
Are there situations where denormalization is preferred?
Yes, denormalization is often preferred in read-heavy applications where performance is critical.
What are the trade-offs between normalization and denormalization?
The trade-offs include data integrity and redundancy versus performance and complexity.
How can I decide the right approach for my database?
Consider your application's specific needs, such as read vs. write operations, and the importance of data integrity.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free