How does denormalization differ from normalization in terms of database design?
- Denormalization and normalization are synonymous terms used to describe the same process in database design.
- Denormalization and normalization have no impact on query performance.
- Denormalization involves intentionally introducing redundancy into a database by combining tables to improve query performance. Normalization, on the other hand, focuses on minimizing redundancy by organizing data into separate tables and ensuring dependencies are logical.
- Denormalization is only applicable in NoSQL databases, while normalization is reserved for SQL databases.
Denormalization and normalization represent opposing strategies in database design. Denormalization intentionally introduces redundancy to enhance query performance, while normalization seeks to minimize redundancy for logical organization.
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