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Design Patterns for Large-Scale Real-Time Learning
Recorded at:

by Sean Owen on Apr 15, 2014 | NOTICE: The next QCon is in London Mar 2-6, Join us!
43:05

Summary
Sean Owen provides examples of operational analytics projects in the field, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience with customers and Oryx/Cloudera.

Bio

Sean Owen is Director of Data Science at Cloudera, based in London. Before Cloudera, he founded Myrrix Ltd, a company commercializing large-scale real-time recommender systems on Apache Hadoop. He has been a primary committer and VP for Apache Mahout, and co-author of Mahout in Action. Previously, Sean was a senior engineer at Google.

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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