Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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.

Sessions

12:0512:45 Wednesday, 1 May 2019
Data Engineering and Architecture, Expo Hall, Streaming and IoT
Location: Expo Hall 2 (Capital Hall N24)
Ted Dunning (MapR, now part of HPE)
Average rating: ****.
(4.67, 6 ratings)
As a community, we have been pushing streaming architectures, particularly microservices, for several years now. But what are the results in the field? Ted Dunning shares several (anonymized) case histories, describing the good, the bad, and the ugly. In particular, Ted covers how several teams who were new to big data fared by skipping MapReduce and jumping straight into streaming. Read more.