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Real-time Big Data Analytics: From Deployment to Production


Presenters:

David Smith, VP Marketing & Community, Revolution Analytics

In this talk, we'll describe the five stages of real-time analytics deployment:

  • Data distillation
  • Model development
  • Model validation and deployment
  • Model refresh
  • Real-time model scoring

We'll review the technologies supporting each stage, and how Revolution Analytics software works with the entire analytics stack to bring Big Data analytics to real-time production environments.

 

About the speakers:

About the Speakers:
Speaker photoAbout the speaker

David Smith is the Vice President of Marketing and Community at Revolution Analytics, the leading provider of software and services for the open-source R statistical language. David writes daily about applications of R, analytics and open-source software at the Revolutions blog (blog.revolutionanalytics.com), and was named a top 10 influencer on the topic of “Big Data” by Forbes. He is the co-author (with Bill Venables) of the tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Prior to joining Revolution Analytics, David was the director of product management for S-PLUS at Insightful, Inc. Follow David on Twitter as @revodavid.