Hadoop is a great technology, but traditionally it tends to be separated from other excellent new techniques, such as Storm for real-time or d3 for visualization. For example, because Hadoop is batch, real-time and Hadoop systems don’t usually work well together. But some new twists in architecture can change that. This talk shows how these separate new technologies can work seamlessly with a distributed system at scale.
In the Bechtel Collaboratory at the Discovery Learning Center. The DLC is part of the Engineering Center at the University of Colorado. It's really not that difficult to find.
6:00 – 6:30 - Socialize over food and drink
6:30 – 6:45 - Announcements, Upcoming Events
6:45 – 8:30 - Ted's talk
8:30 – ??? - Continued socializing
Ted Dunning is Chief Application Architect for MapR Technologies.
Prior to his work at MapR, Ted has held Chief Scientist positions at Veoh Networks, ID Analytics and at MusicMatch (now Yahoo Music). Ted is responsible for building the most advanced identity theft detection system on the planet, as well as one of the largest peer-assisted video distribution systems and ground-breaking music and video recommendations systems. Ted has 15 issued and 15 pending patents.
Opinionated about software and data mining and passionate about open source, he is an active participant of Apache Hadoop and its community and loves helping projects get going with new technologies.Ted is a project mentor for Apache Storm incubator project and project Champion for Apache Drill. He is a PMC member and commiter for Apache Zookeeper and Apache Mahout projects. Ted also bought the drinks at one of the very first Hadoop User Group meetings.