Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Stephen Elston

Stephen Elston
Managing Director, Quantia Analytics, LLC

Website

Stephen Elston is an experienced big data geek, data scientist, and software business leader. Steve is principal consultant at Quantia Analytics, LLC, where he leads the building of new business lines, manages P&L, and takes software products from concept and financing through development, intellectual property protection, sales, customer shipment, and support. Steve is also an instructor for the University of Washington data science program. Steve has over two decades of experience in visualization, predictive analytics and machine learning, at scales from small to massive, using many platforms including Hadoop, Spark, R, S/SPLUS, and Python. He has created solutions in fraud detection, capital markets, wireless systems, law enforcement, and streaming analytics for the IoT.

Sessions

9:00am12:30pm Tuesday, March 14, 2017
Secondary topics:  R
Stephen Elston (Quantia Analytics, LLC), Ryan Hafen (Hafen Consulting)
Average rating: ****.
(4.12, 8 ratings)
Divide and recombine techniques provide scalable methods for exploration and visualization of otherwise intractable datasets. Stephen Elston and Ryan Hafen lead a series of hands-on exercises to help you develop skills in exploration and visualization of large, complex datasets using R, Hadoop, and Spark. Read more.