June 18-21, 2019
Beijing, CN

乐天构建数据科学平台最佳实践(Best practices for building a data science platform at Rakuten)

此演讲使用中文 (This will be presented in Chinese)

Orchlon Ann (Rakuten), TzuLin Chin (Rakuten)
14:0014:40 Friday, June 21, 2019
Average rating: ****.
(4.00, 1 rating)

必要预备知识 (Prerequisite Knowledge)

  • A working knowledge of engineering

您将学到什么 (What you'll learn)

  • Learn how to use the Data Science Platform to build hybrid data science platforms on both on-premises and cloud environments, including GPU/CPU customization features

描述 (Description)

Orchlon Ann and TzuLin Chin offer an overview of the Data Science Platform, a unique platform with a suite of offerings for data scientists, data engineers, and analysts. With the broader and overarching goal of converting data science knowledge to strategic assets, the platform aims to provide an integrated and fully managed development, data access, and knowledge assimilation with dissemination capabilities.

In the current setup, DScP has two components—DataLab for development and Knowledge Hub for publishing and sharing knowledge posts. The value proposition of the platform lies in cutting the environment preparation time by 90% 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 Orchlon Ann

Orchlon Ann


Orchlon Ann is a data engineer at Rakuten in charge of building the Data Science Platform.

Photo of TzuLin Chin

TzuLin Chin


TzuLin Chin is the data engineer working at Rakuten who originated and lead the team building the Data Science Platform.