TIBCO Data Science – Team Studio Parallel Analytics Architecture
Even though your data science platform might support parallel job execution, it is up to the individual creating the job to make sure it is written in such a way that it can truly be executed in parallel across a large cluster.
Most machine learning algorithms are not designed with parallelism in mind. They have been created to run on relatively small datasets in single-node environments—and to get some models to run in parallel can be extraordinarily complex.
TIBCO® Data Science – Team Studio software takes the burden of redesigning common algorithms away from the data scientist. This solution brief explains how it's done.