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

Richard Williamson
Principal Engineer, Silicon Valley Data Science

Website

Richard has been at the cutting edge of big data since its inception, leading multiple efforts to build multi-petabyte Hadoop platforms, maximizing business value by combining data science with big data. He has extensive experience creating advanced analytic systems using data warehousing and data mining technologies

Sessions

1:30pm–2:10pm Thursday, 02/19/2015
Using Multiple Persistence Layers in Spark to Build a Scalable Prediction Engine
Hadoop & Beyond
 Location: 210 C/G
Richard Williamson (Silicon Valley Data Science)
Average rating: ***..
(3.00, 3 ratings)
Getting the full value from data often requires the combination of stream processing on new events combined with large scale historical analysis. While both these activities are served by Spark’s execution framework, leveraging multiple persistence layers is key to efficiently and extensibly enabling these use cases. Read more.