In ETL, what is the significance of idempotence in data transformation?
- Enables error handling
- Ensures data integrity
- Facilitates parallel processing
- Supports incremental loading
Idempotence in data transformation ensures that applying the same transformation multiple times produces the same result, making it suitable for incremental loading. This property is crucial for reliability and consistency in ETL processes, especially when dealing with large datasets and complex transformations.
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