In this first part, the participants saw how it is possible to visualise large cloud optimised data sets in R. They used R packages {leaflet} and {leafem}, and specifically the development version of {leafem}. They saw how to render large vector and raster data sets that are remotely hosted (an AWS S3 bucket in this case) and learned how to control styling and appearance. In this second part, they learned how to prepare their own data in order to host them in the cloud and visualise them using the tools from the first session. This part was mostly about using the command line to prepare data, rather than using R. This part was important as the future of data analysis lies more and more in the cloud and it gave the participants the means to share their large data sets with the world (or whoever they wanted to share them with).