Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Ted Dunning

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

Website | @ted_dunning

Ted Dunning has been involved with a number of startups—the latest is MapR Technologies, where he is chief application architect working on advanced Hadoop-related technologies. Ted is also a PMC member for the Apache Zookeeper and Mahout projects and contributed to the Mahout clustering, classification, and matrix decomposition algorithms. He was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics. Opinionated about software and data-mining and passionate about open source, he is an active participant of Hadoop and related communities and loves helping projects get going with new technologies.


12:05pm–12:45pm Wednesday, December 7, 2016
Location: 323
Tags: streaming
Ted Dunning (MapR, now part of HPE)
Average rating: ****.
(4.25, 4 ratings)
Ted Dunning explains how a stream-first approach simplifies and speeds development of applications, resulting in real-time applications that have significant impact. Along the way, Ted contrasts a stream-first approach with existing approaches that start with an application that dictates specialized data structures, ETL activities, data silos, and processing delays. Read more.
12:05pm–12:45pm Thursday, December 8, 2016
Location: 308/309 Level: Intermediate
Ted Dunning (MapR, now part of HPE)
Modern telecommunications are alphabet soups that produce massive amounts of diagnostic data. Ted Dunning offers an overview of a real-time, low-fidelity simulation of the edge protocols of such a system to help illustrate how modern big data tools can be used for telecom analytics. Ted demos the system and shows how several tools can produce useful analytical results and system understanding. Read more.
1:45pm–2:25pm Thursday, December 8, 2016
Location: Table A
Ted Dunning (MapR, now part of HPE)
Ted will talk about streaming architecture, micro-services, how to build high performance systems, open source, math, or machine learning. Read more.