Architecting R into the Storm Application Development Process
The business need for real-time analytics at large scale has focused attention on the use of Apache Storm, but an approach that is sometimes overlooked is the use of Storm and R together. This novel combination of real-time processing with Storm and the practical but powerful statistical analysis offered by R substantially extends the usefulness of Storm as a solution to a variety of business critical problems. By architecting R into the Storm application development process, Storm developers can be much more effective. The aim of this design is not necessarily to deploy faster code but rather to deploy code faster. Just a few lines of R code can be used in place of lengthy Storm code for the purpose of early exploration – you can easily evaluate alternative approaches and quickly make a working prototype.
In this presentation, Allen will build a bridge from basic real-time business goals to the technical design of solutions. We will take an example of a real-world use case, compose an implementation of the use case as Storm components (spouts, bolts, etc.) and highlight how R can be an effective tool in prototyping a solution.