Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
Paco Nathan

Paco Nathan
Evil Mad Scientist, derwen.ai

Website | @pacoid

Paco Nathan is known as a “player/coach” with core expertise in data science, natural language processing, machine learning, and cloud computing. He has 35+ years of experience in the tech industry, at companies ranging from Bell Labs to early-stage startups. His recent roles include director of the Learning Group at O’Reilly and director of community evangelism at Databricks and Apache Spark. Paco is the cochair of Rev conference and an advisor for Amplify Partners, Deep Learning Analytics, Recognai, and Primer. He was named one of the "top 30 people in big data and analytics" in 2015 by Innovation Enterprise.

Sessions

9:00am–5:00pm Tuesday, 12/01/2015
SOLD OUT
Spark & Beyond
Location: 328-329 Level: Intermediate
Sameer Farooqui (Databricks), Paco Nathan (derwen.ai), Reynold Xin (Databricks)
Average rating: ****.
(4.00, 20 ratings)
The real power and value proposition of Apache Spark is in building a unified use case that combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing and visualizations. In class we will explore various Wikipedia datasets while applying the ideal programming paradigm for each analysis. The class will comprise of about 50% lecture and 50% hands on labs + demos. Read more.