Ted Dunning

Ted Dunning
Chief Application Architect, MapR

Website | @ted_dunning

Ted Dunning is chief application architect at MapR. 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. Ted has years of experience with machine learning and other big data solutions across a range of sectors. He has 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.

Sessions

Sponsored Sessions Ballroom H
Ted Dunning (MapR)
Average rating: ****.
(4.00, 1 rating)
As enterprises deploy Hadoop, it’s not the volume or velocity of data that is problematic, but the variety of types and formats of their critical data. This session discusses how leading companies have integrated Hadoop, NoSQL (HBase) and enterprise sources on one platform. Data is combined and processed in one simplified architecture. Case studies and reference architectures will be reviewed. Read more.

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