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Monday, May 9 • 3:00pm - 3:50pm
Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply

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Cluster computing frameworks such as Hadoop or Spark are tremendously beneficial in processing and deriving insights from data. However, long query latencies make these frameworks sub-optimal choices to power interactive applications. Organizations frequently rely on dedicated query layers, such as relational databases and key/value stores, for faster query latencies, but these technologies suffer many drawbacks for analytic use cases. In this session, we discuss using Druid for analytics, and why the architecture is well suited to power analytic dashboards.


Fangjin Yang

Fangjin is one of the main committers to the open source Druid project and a co-founder of Imply, a San Francisco based data startup. Fangjin previously held senior engineering positions at Metamarkets and Cisco. He holds a BASc in Electrical Engineering and a MASc in Computer Engineering from the University of Waterloo, Canada.

Monday May 9, 2016 3:00pm - 3:50pm
Georgia A

Attendees (31)