http://rdatamining.wordpress.com/2012/05/06/online-resources-for-handling-big-data-and-parallel-computing-in-r/

http://machinelearningmastery.com/books-for-machine-learning-with-r/

Performance of tables - http://www.markhneedham.com/blog/2015/09/25/r-querying-a-20-million-line-csv-file-data-table-vs-data-frame/

Some say it is faster R replacement - http://julialang.org/ http://juliacomputing.com/blog/2016/09/28/knn-char-recognition.html

A lot of free books - http://ucanalytics.com/blogs/r-vs-python-comparison-and-awsome-books-free-pdfs-to-learn-them/ http://www.r-bloggers.com/how-to-learn-r-2/

DPLYR - https://blog.exploratory.io/why-sql-is-not-for-analysis-but-dplyr-is-5e180fef6aa7#.gqumyay5e