Define database normalization and its main goals
This DBMS question asks about organizing data to reduce redundancy and improve integrity. It is a standard topic for database-related interviews.
Why Interviewers Ask This
Normalization ensures data consistency and reduces storage waste. Interviewers assess your ability to design efficient schemas. Poor normalization leads to update anomalies and data inconsistencies, which are costly in production.
How to Answer This Question
Define normalization as the process of organizing columns and tables. State the goal: minimize redundancy and dependency. Walk through normal forms (1NF, 2NF, 3NF). Give examples of violations and fixes. Mention denormalization as a trade-off for read performance.
Key Points to Cover
- Redundancy reduction
- Data integrity improvement
- Normal forms explanation
- Trade-offs with denormalization
Sample Answer
Database normalization is the technique of organizing data to reduce redundancy and improve data integrity. It involves dividing large tables into smaller ones and linking them via relationships. The primary goals are eliminating duplicate data and ensuring dependencies make sense. First Normal Form eliminates repeating groups; Second removes partial dependencies; Third removes transitive dependencies. While normalization improves write efficiency, denormalization is sometimes used to speed up reads in analytics.
Common Mistakes to Avoid
- Confusing normalization with indexing
- Skipping intermediate normal forms
- Ignoring update anomalies
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