Sep 23–26, 2019
Masaru Dobashi
Manager, IT Specialist and Architect, NTT DATA
Masaru Dobashi is a manager, IT specialist and architect at NTT DATA, where he leads the OSS professional service team and is responsible for introducing Hadoop, Spark, Storm, and other OSS middleware into enterprise systems. Previously, Masaru developed an enterprise Hadoop cluster consisting of over 1,000 nodes—one of the largest Hadoop clusters in Japan—and designed and provisioned several kinds of clusters using non-Hadoop open source software, such as Spark and Storm.
Sessions
4:35pm–5:15pm Thursday, September 26, 2019
Location: 1A 06/07
Secondary topics:
Deep Learning
Naoto Umemori (NTT DATA),
Masaru Dobashi (NTT DATA)
Giant hogweed is a highly toxic plant. Naoto Umemori and Masaru Dobashi aim to automate the process of detecting the plant with technologies like drones and image recognition and detection using machine learning. You'll see how they designed the architecture, took advantage of big data and machine and deep learning technologies (e.g., Hadoop, Spark, and TensorFlow), and the lessons they learned.
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