Increase the Data Flow's core count and memory allocation to enhance processing power, despite the potential increase in cost.

Combine the small files into larger files before processing, to reduce the number of file reads and minimize overhead.

Convert the files to a more efficient format like Parquet, without addressing the small file issue directly.

Implement a custom activity to pre-filter the data in the files before the dataflow processes them, adding complexity to the pipeline.