When optimizing an ETL process, what is the impact of using parallel processing?

  • Causes data corruption
  • Decreases data throughput
  • Increases data processing speed
  • Slows down data loading
Using parallel processing in ETL optimization increases data processing speed. This approach involves dividing tasks into parallel threads, allowing for concurrent execution and faster completion of data transformation and loading processes.
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