What is a common optimization approach for transforming large datasets in ETL pipelines?
- Batch processing
- Data denormalization
- Data normalization
- Stream processing
Batch processing is a common optimization approach for transforming large datasets in ETL pipelines, where data is processed in discrete batches, optimizing resource utilization and throughput.
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