Sessions at MongoSV 2011 with slides

Friday 9th December 2011

• MongoDB & Machine Learning

  by Tom Maiaroto

  Using some clever functions within MongoDB you can implement various algorithms to create trainable learning systems within your app's database. You can apply these algorithms to systems such as spam filtering, content auto-tagging, social analytics, and other classification applications. Why build these systems using MongoDB? Other than the performance benefits of Mongo's aggregation systems, you can simplify your workflow, and improve the portability of your business logic. Finally, MongoDB offers many tools that your language or toolkit of choice may not.

  • Machine Learning
  • MongoDB

  At 3:45pm to 4:30pm, Friday 9th December

  Coverage video slide deck

• MongoDB's New Aggregation Framework

  by Chris Westin

  We're working on a new aggregation framework for MongoDB that will introduce a new aggregation system that will make it a lot easier to do simple tasks like counting, averaging, and finding minima or maxima while grouping by keys in a collection. The new aggregation features are not a replacement for map-reduce, but will make it possible to do a number of things much more easily, without having to resort to the big hammer that is map-reduce. After introducing the syntax and usage patterns for the new aggregation system, we will give some demonstrations of aggregation using the new system.

  • Aggregates
  • MongoDB

  At 3:45pm to 4:15pm, Friday 9th December

  Coverage slide deck video