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

Jesse Anderson
Creative Engineer, Smoking Hand

Website | @jessetanderson

Jesse is a Creative Engineer with many years of experience in creating products and helping companies improve their software engineering. He strives to provide developers with the resources to learn new technologies and improve their skillsets. To help the local community, he volunteers time as the President of the Northern Nevada Software Developers Group.

Sessions

9:00am–5:00pm Tuesday, 02/17/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.
9:00am–5:00pm Wednesday, 02/18/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.
9:00am–5:00pm Thursday, 02/19/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.