A review of R for Cloud Computing is on at Journal of Statistical Software
This is a lively book on a timely topic – or rather, a pair of topics, as the book is as much about R as it is on cloud computing. It should prove useful for those interested in the confluence of the two subject areas
The book features a number of interviews with prominent figures in data science. Though arguably a bit out of place, I believe that most readers will find them interesting and worth inclusion. This book should be of interest to anyone who is new to data storage and analysis in the cloud, especially with R, and even veteran users will find something new here and there.
and areas where the author needs to work much much harder
The book aims to provide step-by-step instructions for painlessly and quickly getting the novice user into the cloud. It does succeed in this for the most part, but any such effort will not be 100% painless after all. Readers who lack background in the cloud may feel overwhelmed at times at the beginning, given all the possible choices and myriad terms. In fact, some terms seem to be undefined, and there is no index (though there is a good bibliography). The figures are inline rather than referenced via numbers, and in some cases they are rather distant from the associated text. The font size in the figures may be too small for comfortable reading for some people.
Read the full review here http://www.jstatsoft.org/v66/b04/paper
and get a look at the full book here http://www.springer.com/book/9781493917013
Many thanks to the encouragement from Dr Matloff.
I may have been forced to drop out of U Tennessee Knoxville MS Stats on health grounds in 2010 but I get by with hard work and chutzpah.