How does incremental loading improve ETL performance compared to full loading?
- It allows for easier rollback in case of errors
- It increases the complexity of data transformations
- It reduces the amount of data processed in each load
- It requires less storage space for historical data
Incremental Loading improves ETL performance by reducing the amount of data processed in each load. By only loading new or changed data since the last load, it minimizes processing time and resource utilization, leading to faster and more efficient data integration.
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