How does denormalization differ from normalization, and when is it appropriate to use?
- Enhances data integrity
- Increases redundancy for faster read operations
- Maintains data consistency
- Reduces redundancy for efficient storage
Denormalization involves combining tables to reduce joins for faster read operations at the expense of increased redundancy. It is appropriate in read-heavy applications where performance is critical.
Loading...
Related Quiz
- You're developing a scheduling algorithm for a project with time constraints. How would you apply dynamic programming to optimize the schedule?
- How does NAT (Network Address Translation) work in the context of the TCP/IP model?
- The _________ file in a Git repository lists files and directories that should be ignored.
- The command "git ___________" is used to create a new branch in Git.
- In a large-scale software project, the testing phase is nearing completion, but critical defects are still being discovered. How would you manage this situation effectively?