The recent release of RStudio 1.2 introduced the ability to send long-running R scripts to local and remote background jobs. This functionality can dramatically improve the productivity of data scientists and analysts using R since they can continue working in an unblocked R session in RStudio while jobs are running in the background. In this webinar, we will demonstrate common use cases for local and remote background jobs.
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James is a Solutions Engineer at RStudio, where he focusses on helping RStudio commercial customers successfully manage RStudio products. He is passionate about connecting R to other toolchains through tools like ODBC and APIs. He has a background in statistics and data science and finds any excuse he can to write R code.
