[D] How to deal with huge Categorical data

I have a dataset that already contains about 55 columns and out of this, around 10 Columns or so have categorical data in it. If I were to OneHotEncode them, I will end up having a column count of more than 300. Is this something advisable? How do you people deal with such huge number of columns? I mean 300 columns is not a big deal, but I would like to know your opinion and thoughts on this.

data deal machinelearning