Paco Nathan, is a "player/coach" who has led innovative Data teams building large-scale apps for several years. Expertise in distributed systems, machine learning, functional programming, cloud computing. Paco is an O'Reilly author, Apache Spark open source evangelist with Databricks, and an advisor for Amplify Partners and GalvanizeU. He received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 30+ years technology industry experience ranging from Bell Labs to early-stage start-ups.
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upcoming events:
recent talks:
Big Data Spain 2014 keynote: Big Data is changing abruptly, and where it is likely heading
OSCON 2014 Interview with Andy Orem
Just Enough Math (trailer)
misc:
- Exsto Spark Exercises: text analytics, graph analytics, etc. (2015)
- Apache Spark Developer Certification Program Databricks + O'Reilly Media (2014)
- Apache Spark Training Resources Databricks (2014)
- Bay Area Spark Meetup Databricks and Apache Spark
- Distributed Development Stack O'Reilly Media (2014)
- "Whitepaper: Agricultural Systems + Data Outlook 2Q14", The Data Guild (2014)
- "The Evolution of Big Data Platforms and People", DC2 blog
- "Exclusive Paco Nathan Interview", KDnuggets (2014) by Anmol Rajpurohit
- Exelixi GitHub: a pure Python framework based on Apache Mesos, for GA/GP at scale
- "Learn how to use Apache Mesos" Quick Start Tutorials for Spark, Hadoop, Chronos, Marathon, etc.
- "Play Framework Grid Deployment with Mesos" Typesafe engineering blog
- Pattern: PMML for Cascading and Hadoop KDD (2013): paper with Girish Kathalagiri presented in the PMML workshop
- Cascading.Pattern GitHub: machine learning libraries for Cascading, translating PMML to Hadoop apps
- Cascading for the Impatient GitHub: a progressive series of introductory sample apps for Cascading
- City of Palo Alto Open Data GitHub: Cascading and Cascalog recommender apps based on CoPA Open Data
- "Grokking Big Data with Paco Nathan", Follow The Data
- TextRank GitHub: Java implementation of TextRank algorithm by Mihalcea, et al.
- Cascading.SampleRecommender GitHub: an example social recommender, based on stock Tweets
- Getting Started on Hadoop GitHub: Hadoop streaming in Python, to analyze Enron email data set
- JFRED Chatbot Server chatbot platform used for FringeWare eCRM, for BBC live televised Turing Test, etc.
- OpenSIMS, SourceForge: integrates OSS tools for security management plus real-time analysis visualization
- "Hadoop Summit Speaker Interview: Paco Nathan"
- "Magic and the Corporation", Expanding Mind (2012) by Erik Davis and Maja D'Aoust
- "What Countermeasures Really Means", O'Reilly ONLamp (2004)
- Sind Unternehmen die besseren Menschen? Löhrbach : Pieper and the Grüne Kraft (2004)
- "The Corporate Body: Liber 118 U.S. 394", Signum (2002)
- "Ninkasi: Ritual Brewmaking" (2001-09-15)
- "Liber 118 U.S. 394, non-fiction archives"
- "FRED, Milton and Barry: the evolution of intelligent agents for the Web", Advances in intelligent systems (1997)
- "Jackson Wins, Feds Lose", Wired (1993)
- "FringeWare Chronology", Laughing Bone
- "Timewave Surfer Dudes", bOING-bOING (1992)
- "LoTR: The Two Towers" video game, Interplay (1992)
