If an ETL process is taking longer than expected due to large data volumes, what optimization strategies should be considered?
- Data Duplication
- Increased Batch Size
- Parallel Processing
- Sequential Loading
When dealing with large data volumes in ETL, employing parallel processing is a key optimization strategy. This involves dividing the data processing tasks into parallel threads, significantly reducing the overall processing time and enhancing efficiency.
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