Data analysis using R/python and SSDs
The read and write times for SSDs are significantly higher than standard 7200 RPM disks (it's still worth it with a 10k RPM disk, not sure how much of an improvement it is over a 15k). So, yes, you'd get much faster times on data access.
The performance improvement is undeniable. Then, it's a question of economics. 2TB 7200 RPM disks are $170 a piece, and 100GB SSDS cost $210. So if you have a lot of data, you may run into a problem.
If you read/write a lot of data, get an SSD. If the application is CPU intensive, however, you'd benefit much more from getting a better processor.
Does anyone have any experience using r/python with data stored in Solid State Drives. If you are doing mostly reads, in theory this should significantly improve the load times of large datasets. I want to find out if this is true and if it is worth investing in SSDs for improving the IO rates in data intensive applications.