Working on a remote server
Day 2
| Time (PST) | Activity |
|---|---|
| 10:00am - 10:50am | Working on a remote server Server (50 min) |
| 10:50am - 11:00am | Break (10 min) |
| 11:00am - 12:30am | Command line (50 min) |
| 12:30pm - 1:30pm | Lunch (60 min) |
| 1:30pm - 3:00pm | Automating things with bash (90min) |
| 3:00pm - 3:10pm | Break (10 min) |
| 3:10pm - 4:00pm | Uploading things to a server (30 min) |
Working on a remote server
Learning Objectives
In this lesson, you will learn:
- How to connect to a remote server
- Get familiar with RStudio server
- Get an introduction to the command line (CLI) & bash
Why working on a remote machine?
Often the main motivation is to scale your analysis beyond what a personal computer can handle. R being pretty memory intensive, moving to a server often provides you more RAM and thus allows to load larger data in R without the need of slicing your data into chunks. But there are also other advantages, here are the main for scientist:
- Power: More CPUs/Cores (24/32/48), More RAM (256/384GB)
- Capacity: More disk space and generally faster storage (in highly optimized RAID arrays)
- Security: Data are spread across multiple drives and have nightly backups
- Collaboration: shared folders for code, data, and other materials; same software versions
Warning
=> The operating system is more likely going to be Linux!!
More on this in a few minutes
