R, along with Python, is the most popular language among enterprise data scientists. The R ecosystem includes thousands of packages for statistical analysis and machine learning as well as advanced graphical capabilities. R users across enterprises are expressing strong interest in leveraging cloud for R workloads. Cloud offers several unique advantages, such as accessing ever-growing datasets, easily scaling up compute resources for processing large data, managing resources more cost efficiently.

In this latest Data Science Central webinar, we will demonstrate how Databricks helps R users migrating their applications from legacy on-prem environments to public clouds such as AWS and Azure. We will cover:

• Seamless migration of models developed in desktop RStudio to RStudio in Databricks
• Leveraging Databricks Notebooks with MLflow to enhance their work

Recording and notebooks will be provided after the webinar so that you can practice at your own pace.

Speaker: 
Hossein Falaki, Tech Lead - Databricks

Hosted by: 
Stephanie Glen, Editorial Director - Data Science Central