Working with Big Data: Infrastructure, Algorithms, and Visualizations LiveLessons presents 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
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.
About the Author:
Paul Dix is the author of “Service Oriented Design with Ruby and Rails.” He 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. He lives in New York City.