Reducing Big mixed Dataset

Hi everyone, I would like to know methods that can reduce a huge amount of data especially if that dataset contains mixed values(quantitative and qualitative) before doing a clustering tasks.

For example, if I own a dataset which is composed of 45000 raws and 2700 columns(mixed values), how would I reduce the number of columns?

Best regards.

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