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Pre-Aggregated Analytics And Social Feeds Using MongoDB

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PSSST July 17 2012 issue
PSSST July 17 2012 issue
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Pre-Aggregated Analytics And Social Feeds Using MongoDB

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Jon Hyman, co-founder and CIO of Appboy, an engagement platform for mobile apps, highlights how it solved issues around pre-aggregated analytics and used statistical formulas on top of the aggregation framework to return results in real time as its data grew. And Greg Avola, co-founder and developer at Untappd, a social network for beer lovers, discussed how MongoDB and ObjectRocket helped Untappd address problems with serving its social feed and how it sustained high performance up to 5,000 to 6,000 queries per second, and used location indexes to enable geo-location search.

Jon Hyman, co-founder and CIO of Appboy, an engagement platform for mobile apps, highlights how it solved issues around pre-aggregated analytics and used statistical formulas on top of the aggregation framework to return results in real time as its data grew. And Greg Avola, co-founder and developer at Untappd, a social network for beer lovers, discussed how MongoDB and ObjectRocket helped Untappd address problems with serving its social feed and how it sustained high performance up to 5,000 to 6,000 queries per second, and used location indexes to enable geo-location search.

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