Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
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

14:55–15:35 Thursday, 2/06/2016
Spark & beyond
Location: Capital Suite 13 Level: Intermediate
Ted Dunning (MapR)
Average rating: ****.
(4.38, 13 ratings)
Telecom operators need to find operational anomalies in their networks very quickly. Spark plus a streaming architecture can solve these problems very nicely. Ted Dunning presents a practical architecture as well as some detailed algorithms for detecting anomalies in event streams. These algorithms are simple and quite general and can be applied across a wide variety of situations. Read more.
15:45–16:25 Thursday, 2/06/2016
Office Hours
Location: O'Reilly Booth (Table A)
Ted Dunning (MapR)
Average rating: ****.
(4.00, 1 rating)
Ted will answer questions about anomaly detection, streaming data architectures including Kafka and MapR Streams, processing frameworks such as Flink, Apex, Storm, and Spark Streaming, and just about anything else you may want to talk about. Read more.