Hello all, I have a dataset consisting of about 16 GB of CSV files. I am looking to do some time series analysis of this data, and created a view but when I started doing aggregate queries using components of the date, the performance was disappointing. Would it be better to do a CTAS and partition by components of the date? If so, would parquet be the best format? Would anyone have other suggestions of things I could do to improve performance? Thanks, — C
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