Paco Nathan, is known as a "player/coach" data scientist who's led innovative Data teams building large-scale apps for 10+ years.
A recognized expert in distributed systems, machine learning, and Enterprise data workflows, Paco is an O'Reilly author,
OSS evangelist for
and an advisor for
Paco received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 25+ years technology industry experience ranging from Bell Labs to early-stage start-ups.
Newsletter and "official" web site: http://liber118.com/pxn/
Webcast: Enterprise Data Workflows with Cascading September 17, 2013
In this hands-on webcast presented by Paco Nathan author of Enterprise Data Workflows with Cascading, he will discuss what defines a workflow , in contrast to notions of dataflow and the impact that has on the tools required.