Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Wangda Tan

Wangda Tan
Senior Member of the Technical Staff, Hortonworks

@leftnoteasy

Wangda Tan is a senior member of the technical staff at Hortonworks, where he focuses on the Hadoop YARN resource scheduler. Previously, he worked on integrating OpenMPI with Hadoop at Pivotal and created a large-scale machine learning and matrix computation platform at Alibaba, which now runs on 5,000 clusters and handles some most complex parallel computation tasks at the company.

Sessions

1:10pm–1:50pm Thursday, 09/13/2018
Location: 1A 10 Level: Intermediate
Secondary topics:  Data Platforms, Deep Learning, Model lifecycle management
Wangda Tan (Hortonworks)
Average rating: ****.
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In order to train deep learning and machine learning models, you must leverage applications such as TensorFlow, MXNet, Caffe, and XGBoost. Wangda Tan discusses new features in Apache Hadoop 3.x to better support deep learning workloads and demonstrates how to run these applications on YARN. Read more.