R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop
(PC era) and helps the user navigate the wealth of information in R and its 4000 packages as
well as transition the same analytics using the cloud. With this information the reader can
select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages
that can help process the analytical tasks with minimum effort cost and maximum usefulness and
customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials
is emphasized in this book to lessen the famous learning curve in learning R and some of the
needless confusion created in cloud computing that hinders its widespread adoption. This will
help you kick-start analytics on the cloud including chapters on both cloud computing R
common tasks performed in analytics including the current focus and scrutiny of Big Data
Analytics setting up and navigating cloud providers. Readers are exposed to a breadth of cloud
computing choices and analytics topics without being buried in needless depth. The included
references and links allow the reader to pursue business analytics on the cloud easily. It is
aimed at practical analytics and is easy to transition from existing analytical set up to the
cloud on an open source system based primarily on R. This book is aimed at industry
practitioners with basic programming skills and students who want to enter analytics as a
profession. Note the scope of the book is neither statistical theory nor graduate level
research for statistics but rather it is for business analytics practitioners. It will also
help researchers and academics but at a practical rather than conceptual level. The R
statistical software is the fastest growing analytics platform in the world and is established
in both academia and corporations for robustness reliability and accuracy. The cloud computing
paradigm is firmly established as the next generation of computing from microprocessors to
desktop PCs to cloud.