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With foursquare's growing popularity, we were fast approaching the point where it would no longer be feasible to store user checkins on a single physical machine. MongoDB's auto-sharding capabilities enabled us to easily transition to a multi-node cluster that will enable us to continue to grow for the foreseeable future.

Harry Heymann Engineering Lead, foursquare

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MongoDB's New Aggregation Framework

Chris Westin, Software Engineer, 10gen

cwestin     @cwestin63

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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.

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