The data science blog by eoda
The data analysis blog from the data science specialist: We tell you stories about the data science languages R and Python, data science in a business context and much more.
Shiny: Performance tuning with future & promises - Theory
Reading time: approx. 3 min. As analysis apps become more and more complex, the demands on developers to maintain the status quo for performance and availability are also increasing. We take a look at the architecture of the Shiny apps and the packages future & promises!
Kubernetes: Horizontal scaling of data science applications in the cloud
Reading time: approx. 2 min Due to the constant growth of data and the ever more complex requirements of an IT infrastructure, there are always new challenges for data scientists and data engineers. One possible solution is to combine the RStudio Job Launcher with a Kubernetes cluster: Read our blog article to find out about the advantages!