What is the impact of data deduplication on anomaly detection during ETL processes?
- It decreases false positives
- It depends on the type of anomalies
- It has no impact on anomaly detection
- It increases false positives
Data deduplication decreases false positives in anomaly detection during ETL processes by removing duplicate entries. This ensures that anomalies are identified based on unique and relevant data, improving the accuracy of the detection process.
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