Jon Hyman Jon Hyman on

In this talk, "MongoDB, Analytics, and Flexible Schemas," Jon Hyman, CTO and co-founder of Appboy, discusses how Appboy takes advantage of MongoDB's schemaless data modeling for analytic pre-aggregation. Jon will also discuss how Appboy uses the aggregation framework and statistical analysis to estimate results of ad-hoc queries over tens of millions of database documents. Furthermore, he will also cover other tips and hints that he learned from growing a MongoDB set up to support thousands of writes per second. This talk was recorded at the New York MongoDB user group meetup at Ebay NYC.

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André Spiegel André Spiegel on


(Contributor article “Tracking Twitter Followers with MongoDB by André Spiegel,” Consulting Engineer at MongoDB. Originally appeared on MongoDB blog


As a recently hired engineer at MongoDB, part of my ramping-up training is to create a number of small projects with our software to get a feel for how it works, how it performs, and how to get the most out of it. I decided to try it on Twitter. It’s the age-old question that plagues every Twitter user: who just unfollowed me? Surprising or not, Twitter won’t tell you that. You can see who’s currently following you, and you get notified when somebody new shows up. But when your follower count drops, it takes some investigation to figure out who you just lost.

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Avery Rosen Avery Rosen on

Big Data and Wee Data - We all know MongoDB is great for Big Data, but it's also great for work on the other end of the scale -- call it "Wee Data". In this talk, MongoDB expert and Principal at Bringing Fire Consulting, Avery Rosen, talks on how this type of data is far more common than Big Data scenarios. Avery discusses how just about every project starts with it. In this domain, we don't care about disk access and indices; instead, we care about skipping past the wheel inventing and getting right down to playing with the data. MongoDB lets you persist your prototype or small-working-set data without making you deal with freeze-drying and reconstitution, provides structure well beyond csv, gets out of your way as you evolve your schemas, and provides simple tools for introspecting data and crunching numbers. This talk was recorded at the New York MongoDB User Group meetup at About.com

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Sam Helman Sam Helman on

In this talk, we'll hear from Sam Helman, Software Engineer at MongoDB (formerly 10gen), on how MongoDB is integrating Go into their new and existing cloud tools. Some of the tools leveraging Go include the backup capabilities in MongoDB Management Service and a continuous integration tool.  They see using Go as an opportunity to experiment with new technologies and create a better product for end users. This talk was recorded at the MongoDB User Group meetup at MongoDB.

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