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Metamarkets - Druid

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Druid is open source infrastructure for Real²time Exploratory Analytics on Large Datasets. The system uses an always-on, distributed, shared-nothing, architecture designed for real-time querying and data ingestion. It leverages column-orientation and advanced indexing structures to allow for cost effective, arbitrary exploration of multi-billion-row tables with sub-second latencies.

In this talk, Fangjin Yang will talk on the motivations for building druid, it's architecture, how it works, and it's real-time capabilities.

We'll start at 7pm with pizza & beer thanks to Square, and Fangjin Yang will go on at 7:30.

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Data Council SF Data Engineering & Science
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Square office
1455 Market Street, 9th floor · San Francisco, CA