Sep 23–26, 2019
Wangda Tan

Wangda Tan
Engineering Manager, Cloudera

@leftnoteasy

Wangda Tan is Product Management Committee (PMC) member of Apache Hadoop and engineering manager of computation platform team at Cloudera. He manages all efforts related to Kubernetes and YARN for both on-cloud and on-prem use cases of Cloudera. His primary interesting areas are YuniKorn scheduler (scheduling containers across YARN and Kubernetes) and Hadoop submarine project (running Deep learning workload across YARN and Kubernetes). He has also led features like resource scheduling, GPU isolation, node labeling, resource preemption etc efforts in the Hadoop YARN community. Before joining Cloudera, he was working at Pivotal, working on integration OpenMPI/GraphLab with Hadoop YARN. Before that, he was working at Alibaba cloud computing, participated in creating a large scale machine learning, matrix and statistics computation platform using Map-Reduce and MPI.

Sessions

4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 07/08
Wangda Tan (Cloudera), Arpit Agarwal (Hortonworks Inc.)
In this talk, we’ll start with the current status of Apache Hadoop community, we'll then move on to the exciting present & future of Hadoop 3.x. We will cover new features like erasure coding, GPU support, namenode federation, Docker, long-running services support, powerful container placement constraints, data node disk balancing, etc. Also we will talk about upgrade guidance from 2.x to 3.x. Read more.

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