How does the principle of data normalization relate to the reduction of data anomalies?
- It decreases data anomalies
- It depends on the normalization level
- It has no impact on data anomalies
- It increases data anomalies
Data normalization reduces data anomalies by organizing and structuring data in a way that eliminates redundancy and dependency. This helps in minimizing inconsistencies and anomalies within the dataset.
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