In ETL performance optimization, why might partitioning be used on large datasets during the extraction phase?

To compress the data for efficient storage
To eliminate redundant data
To encrypt the data for security purposes
To separate the data into smaller subsets for parallel processing

Partitioning large datasets during the extraction phase is used to break down the data into smaller, manageable subsets. This allows for parallel processing, which significantly enhances extraction performance by distributing the workload across multiple resources. It is especially beneficial when dealing with massive datasets.

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