R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, securing, scaling and maintaining RStudio yourself is, however, tedious and cumbersome.
Implementing the RStudio environment in AWS provides elasticity and scalability that you don’t have when deploying on-prem, eliminating the need of managing that infrastructure.  You can select the desired compute and memory based on processing requirements and can also scale up or down to work with analytical and ML workloads of different sizes without an upfront investment. This lets you quickly experiment with new data sources and code, and roll out new analytics processes and ML models to the rest of the organization. You

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