This course provides a high level overview of big data and how to use key tools to solve your data challenges. This introduction to the three areas of big data includes: • Infrastructure – how to store and process big data • Algorithms – how to integrate algorithms into your big data stack and an introduction to classification • Visualizations – an introduction to creating visualizations in JavaScript using D3.js The goal was not to be exhaustive, but rather, to provide a higher level view of how all the pieces of a big data architecture work together. Instructor Paul Dix is a frequent speaker at conferences and user groups including Web 2.0, RubyConf, RailsConf, The Gotham Ruby Conference, and Scotland on Rails. Paul is the founder and organizer of the NYC Machine Learning Meetup, which has over 2,900 members. In the past he has worked at startups and larger companies like Google, Microsoft, and McAfee. Currently, Paul is a co-founder at Errplane, a cloud based service for monitoring and alerting on application performance and metrics.
