Which configuration option helps improve run times in CSV imports?

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The option that helps improve run times in CSV imports by setting a record limit is beneficial because it allows you to control the amount of data being processed in a single operation. By specifying a record limit, you can significantly reduce the volume of data being loaded at once, which can minimize the strain on system resources and speed up the import process. This is particularly useful when working with very large datasets, as processing fewer records can lead to quicker turnaround times for data analysis.

Implementing this configuration is strategic when you only need a subset of the data for a particular analysis or if you're iteratively testing your workflows. By setting a reasonable record limit, you can efficiently manage data imports, allowing for faster execution without overwhelming the processing capabilities of the software or hardware being used.

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