Distributed Scalable Decision Trees Are there any good sources that explain how decision trees can be implemented in a scalable way on a distributed computing system.  Where in a given source is this explained?
Apache Spark can do it, using the new MLLib library. Here's a presentation, and here are some benchmarks. Bindings are available for python, scala, and java.