Best Way to Process a Large CSV Time-Series Dataset in Rust?

I’ve been experimenting with Rust for processing larger time-series datasets and I’m trying to figure out the most sensible approach once the files stop being small. The data itself is pretty simple: timestamp,symbol,price,volume 1720000000,BTCUSDT,61250.4,0.82 1720000060,BTCUSDT,61271.1,1.14 Some of the historical market data I’m working with comes from different sources, including exports from BYDFi. After cleaning it, the files can easily grow to several million rows. My first thought w...