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How to Keep Your R Code Simple While Tackling Big Datasets

R, TERR, Spark and Python are tools that benefit from larger systems. Software-Defined Servers enable data scientists to size their processing system to the size of a particular data problem. In this Data Science Central webinar you will learn how Software-Defined Servers work in practice for several common data science tools and will explore how removing core and memory constraints has multiple, profound and positive implications for application developers tackling big data problems of all kinds.

Speaker: Michael Berman, Vice President of Engineering -- TidalScale

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

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Comment by Leonard Williams on February 25, 2017 at 1:43pm

Software-defined Services.


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