Speaker
Description
The R language can be found on laptops, servers, clusters and high performance compute environments as well as embedded within databases, services, agents and business domain solutions. As the sheer number of analyses, more compute intensive analysis methods and the size of data steadily increases, using R for analysis at scale is becoming a math problem that seems to have no one simple answer. Add automation that never sleeps or takes a holiday, and the equation becomes more complex. We consider some basic and different approaches to manage the balance of available resources with the increasing demand for immediate analysis results, while ensuring that the analysis you perform on your laptop can be run at scale in high performance environments and clusters.
Additional Material or Paper
LinekdIn article currently being drafted
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | R, analysis, automation, scale |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |