Paco Nathan

Paco Nathan

Apache Spark, Cluster Computing, Data Science, Big Data

  • @pacoid
  • + Paco Nathan

Mountain View, California

Areas of Expertise:

  • Spark
  • Mesos
  • Python
  • Scala
  • Machine Learning
  • Data Science
  • Cascading
  • Cascalog
  • Scalding
  • Cloud Computing
  • R
  • Big Data
  • Open Data
  • Text Analytics
  • NLP
  • PMML
  • Distributed Systems
  • consulting
  • speaking
  • programming
  • training
  • writing
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 Apache Spark with Databricks, and an advisor for Amplify Partners. 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/

Enterprise Data Workflows with Cascading Enterprise Data Workflows with Cascading
by Paco Nathan
July 2013
Print: $39.99
Ebook: $33.99

Just Enough Math Just Enough Math
by Paco Nathan
May 2014
Video: $129.99

Paco blogs at:

Webcast: Computational Thinking: Just Enough Math
June 04, 2014
In the webcast, we'll review some of the historical context that led to machine learning techniques.

Webcast: Getting Started Running Apache Spark on Apache Mesos
January 24, 2014
This tutorial shows a simple way to launch a Mesos cluster in the cloud, how to configure run Spark on Mesos, then how to run jobs in Spark.

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.