Paco Nathan is an O’Reilly author (Just Enough Math and Enterprise Data Workflows with Cascading) and a “player/coach” who’s led innovative data teams building large-scale apps. He is director of community evangelism for Apache Spark with Databricks, and an advisor to Amplify Partners. Paco is an expert in machine learning, cluster computing, and enterprise use cases for big data. His interests include Spark, Ag+Data, open data, Mesos, PMML, Cascalog, Scalding, Clojure, Python, Chatbots, and NLP.
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