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InfoQ Homepage Presentations Design Patterns for Large-Scale Real-Time Learning

Design Patterns for Large-Scale Real-Time Learning

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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.

About the conference

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.

Recorded at:

Apr 15, 2014

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