user2016

There’s no question that R is the fastest growing analytic language amongst data miners and data scientists. Organizations are also embracing R for business analytics to attract the new generation of analytic talent entering into the industry. However data and processing limitations associated with R become a real challenge as analyst wrestle with billions of records and analyze complex relationships, while working with new data sources to enhance business analytic solutions. Vendors are addressing this challenge with parallel R technology and claim to “lift all limitations of R”, but no data platform will “auto-magically” scale R. This session drills into the different ways to scale R and its benefits and challenges. The take-away from this session is a set of questions that can be used to evaluate scalable R technologies to align with your business requirements.