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Saturday, October 22 • 4:00pm - 4:45pm
(Fukuoka) Horizontally scalable batch with Apache Spark

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Data increases every day depending on expansion of the service. At some point, the processing time will exceed the available time. We need to avoid this situation.
Apache Spark is in-memory base distributed system. It provides horizontally scalability for our batch system.
In this session, I talk about why should we use Apache Spark? and how do we start Apache Spark?

Let's start scaling out batch system!


Speakers
avatar for Hiroaki Nakada

Hiroaki Nakada

Application Engineer, Rakuten
Hiroaki Nakada is a senior application engineer for the Rakuten Card System Department. He has working in the development and operation of Rakuten Credit Card System since 2009. He has expertise in design, development and operation in two major key areas: front-end and back-end financial... Read More →


Saturday October 22, 2016 4:00pm - 4:45pm JST
Fukuoka A