aws

Setting the scene for automation In the previous post I wrote about how to spin up a EC2 instance with Rstudio server, so some of the more computational heavy R processing can be moved on AWS infrastructure.

I use a Thinkpad from 2015 for my day to day work, and you can imagine things are getting slower as time goes by. Recently I had to test some computation in an R package I am developing and my computer froze multiple times.

In recent weeks, I have been trying to learn more about using the {paws} software development kit to interact with Amazon Web Services from R. So far, my focus was on the basics of DynamoDB.

In our previous post we covered some basics of using the paws SDK to interact with AWS DynamoDB from R. We wrote a few simple functions to prepare R lists in the appropriate format for DynamoDB and some wrappers to put these lists as items in the remote NoSQL database.

R and AWS DynamoDB In recent weeks we’ve been using AWS services for a few our projects. One of the things that came up was to populate DynamoDB tables with data from R.