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Make Data Work
Oct 15–17, 2014 • New York, NY
Xavier Léauté

Xavier Léauté
Software Engineer, Confluent

Website | @xvrl

One of the first engineers to Metamarkets’ analytics team, Xavier is responsible for analytics infrastructure, including real-time analytics in Druid. He was previously a quantitative researcher at BlackRock. Prior to that, he held various research and analytics roles at Barclays Global Investors and MSCI. He holds an MEng in Operations Research from Cornell University and a Masters in Engineering from École Centrale Paris.

Sessions

1:45pm–2:25pm Thursday, 10/16/2014
Hadoop & Beyond
Location: 1 E20/1 E21
Fangjin Yang (Imply), Xavier Léauté (Confluent)
Average rating: ***..
(3.17, 6 ratings)
Organizations often showcase the virtues of their data platforms, but rarely share the challenges and decisions faced along the way. Our session describes how we architected our analytics stack around Druid, an open source distributed data store, and how we overcame the challenges around scaling the system, balancing features with cost, and making performance consistent. Read more.
4:15pm–4:55pm Thursday, 10/16/2014
Office Hour
Location: Table C
Fangjin Yang (Imply), Xavier Léauté (Confluent)
Fangiin and Xavier are happy to discuss Druid and all big data related miscellany, including architecting systems for efficiency and cost in multi-tenant environments, common tradeoffs in system design, and Druid use cases and scaling without incurring downtime. Read more.