Diverse architectures to run your R code on single machine to widely distributed PaaS environments

Availability of large data sets, open source and vendor supported R machine learning packages and the easy access to Cloud technologies have put the power in the hands of Data Scientists and Data Architects to take up ambitiously complex advanced analytics projects and execute successfully. Many of these projects take significantly less time at a cost that brews innovation by individuals to large enterprises. In this presentation, I will go through some of the architectures with single machines to different cloud based code execution in R in Azure.

Experienced Technology leader adept in architecting data solutions, building teams around ideas and delivering products or SaaS environments on schedule and budget in Cloud Computing, Big Data, Analytics and AI.