Presented By

June 18-21, 2019
Beijing, CN

Best practice of building data science platform in Rakuten

This will be presented in English.

安敖日奇朗 (Rakuten, Inc.), TzuLin Chin (Rakuten, Inc.)
14:0014:40 Friday, June 21, 2019

必要预备知识 (Prerequisite Knowledge)

Basic level engineering knowledge

您将学到什么 (What you'll learn)

Building hybrid data science platform on both on-premises and cloud environment, including GPU/CPU customisation features.

描述 (Description)

Data Science Platform is conceived to be unique platform with suite of offerings for Data scientists, data engineers and analysts. With broader and overarching goal of converting data science knowledge to strategic assets, the platform aims to provide an integrated & fully managed development, data access and knowledge assimilation and dissemination capabilities.
In the current setup, the Data Science Platform has two components – DataLab for development and Knowledge Hub for publishing & sharing knowledge posts. The value proposition of the platform lies in cutting the environment preparation time by 90% percent and facilitating knowledge discovery and reusability. In the age of AI, DScP will create a new Data Science culture which will promote data driven decision making and community learning at Rakuten.

Photo of 安敖日奇朗


Rakuten, Inc.

He is currently working at Rakuten as data engineer and in charge of building the data science platform.

Photo of TzuLin Chin

TzuLin Chin

Rakuten, Inc.

Chin is the data engineer working at Rakuten who originated and lead the team building the data science platform.

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