Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ted Dunning

Ted Dunning
Chief Application Architect, MapR Technologies

Website | @ted_dunning

Ted Dunning is chief applications architect at MapR Technologies. He’s also a board member for the Apache Software Foundation, a PMC member and committer of the Apache Mahout, Apache Zookeeper, and Apache Drill projects, and a mentor for various incubator projects. He also designed the t-digest algorithm used in several open source projects and by a variety of companies. Previously, Ted was chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics (LifeLock). Ted has coauthored a number of books on big data topics, including several published by O’Reilly related to machine learning, and has 24 issued patents to date. He holds a PhD in computing science from the University of Sheffield. He is on Twitter as @ted_dunning.


12:0512:45 Wednesday, 23 May 2018
Data science and machine learning
Location: Capital Suite 12 Level: Intermediate
Ted Dunning (MapR Technologies)
No matter how clever your learning algorithms two things will still be true - data and deployment logistics will dominate the effort - you will need more than 2 versions of your model, even in full production I will describe the rendezvous architecture and show how addresses these issues and many more, thus allowing more time to be spent thinking and doing real data science. Read more.