BT

Your opinion matters! Please fill in the InfoQ Survey!

You are now in FULL VIEW
CLOSE FULL VIEW

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

| by Sean Owen Follow 0 Followers on Apr 15, 2014 | NOTICE: The next QCon is in London Mar 5-9, 2018. Join us!

A note to our readers: As per your request we have developed a set of features that allow you to reduce the noise, while not losing sight of anything that is important. Get email and web notifications by choosing the topics you are interested in.

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.

Sponsored Content

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.

Login to InfoQ to interact with what matters most to you.


Recover your password...

Follow

Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.

Like

More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.

Notifications

Stay up-to-date

Set up your notifications and don't miss out on content that matters to you

BT