Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Paco Nathan

Paco Nathan
Evil Mad Scientist, derwen.ai

Website | @pacoid

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. Director of Community Evangelism for Apache Spark with Databricks, advisor to Amplify Partners . Expert in machine learning, cluster computing, and Enterprise use cases for Big Data. Interests: Spark, Ag+Data, Open Data, Mesos, PMML, Cascalog, Scalding, Clojure, Python, Chatbots, NLP.

Sessions

9:00am–5:00pm Wednesday, 02/18/2015
Hadoop & Beyond
Location: LL21 E/F
Paco Nathan (derwen.ai), Holden Karau (Google), Krishna Sankar (U.S.Bank), Reza Zadeh (Matroid | Stanford), Denny Guang-yeu Lee (Microsoft), Chris Fregly (PipelineAI)
Average rating: ***..
(3.71, 17 ratings)
A full-day, hands-on tutorial introducing Apache Spark and libraries for building workflows: Spark SQL, Spark Streaming, MLlib, GraphX, etc. Read more.
2:20pm–3:00pm Friday, 02/20/2015
Ask Us Anything
Location: 211 B
Paco Nathan (derwen.ai), Matei Zaharia (Databricks), michael dddd (Databricks), Reynold Xin (Databricks), Holden Karau (Google), Reza Zadeh (Matroid | Stanford), Sameer Farooqui (Databricks), Denny Guang-yeu Lee (Microsoft), Chris Fregly (PipelineAI)
Join the Spark team for an informal question and answer session. Several of the Spark committers, trainers, etc., from Databricks will be on hand to field a wide range of detailed questions. Even if you don't have a specific question, join in to hear what others are asking. Read more.