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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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Rapid and Scalable Development with MongoDB, PyMongo, and Ming

Rick Copeland, SourceForge


Posted on 2011-11-17

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This intermediate-level talk will teach you techniques using the popular NoSQL database MongoDB and the Python library Ming to write maintainable, high-performance, and scalable applications. We will cover everything you need to become an effective Ming/MongoDB developer from basic PyMongo queries to high-level object-document mapping setups in Ming.

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