Distributed ML is tough to train because of very little control over train loop. I personally prefer using single server trainkng even on large datasets, or switch to online learning algos that do train/inference/retrain at the same time.
as for snowflake, I havent heard of people using snowflake to train ML, but sbnowflake is a killer in managed distribited DWH that you dont have to tinker and
tune
Distributed ML is tough to train because of very little control over train loop. I personally prefer using single server trainkng even on large datasets, or switch to online learning algos that do train/inference/retrain at the same time.
as for snowflake, I havent heard of people using snowflake to train ML, but sbnowflake is a killer in managed distribited DWH that you dont have to tinker and tune