Hi from the PhD Disseration <http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-12.pdf> of Matei Zaharia, there are four computation models in the large scale clusters:
1. *Iterative algorithm*, such as graph processing and machine leaning algorithm 2. *Relational query* 3. *MapReduce*, a general parallel computation model 4. *Stream processing*, Obviously, Tez supports #2 and #3, but for #1 and #4, I don't see any examples. As for streaming, I guess if we implement appropriate input, there is no reason that tez can't support in theory. But for Machine Leaning, how do we use vertex and edge to express *Logistic Regression*? Thanks Chang
