This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back.
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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. On Tuesday, February 14, 2017.
18 Great Blogs Posted in the last 12 Months
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