Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Ted Dunning

Ted Dunning
Chief Technology Officer, MapR, now part of HPE

Website | @ted_dunning

Ted Dunning is the chief technology officer at MapR, an HPE company. He’s also a board member for the Apache Software Foundation, a PMC member, and committer on a number of projects. Ted has years of experience with machine learning and other big data solutions across a range of sectors. He’s contributed to clustering, classification, and matrix decomposition algorithms in Mahout and to the new Mahout Math library and 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 plus a dozen pending. He holds a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting.


5:25pm–6:05pm Wednesday, 09/30/2015
Production Ready Hadoop
Location: 3D 05/08 Level: Intermediate
Ted Dunning (MapR, now part of HPE)
Average rating: ***..
(3.70, 10 ratings)
I will deconstruct a real-world database schema into the corresponding NoSQL design. Along the way, we will see how the number of tables drops by nearly 5x and the ease of understanding the design increases by a similar degree. In spite of radical changes, the resulting denormalized and nested data can still be queried with SQL by using Apache Drill. These methods are practical and easy to apply. Read more.
11:20am–12:00pm Thursday, 10/01/2015
Office Hours
Location: Table B (O'Reilly Booth)
Ted Dunning (MapR, now part of HPE)