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Make Data Work
July 12-13, 2017: Training
July 13-15, 2017: Tutorials & Conference
Beijing, China

物联网&实时计算 (IoT & real-time)

13:30–17:00 Thursday, 2017-07-13
Location: 多功能厅5A(Function Room 5A) 观众水平 (Level): Beginner
Sijie Guo (StreamNative), Maosong Fu (Twitter)
The move to streaming architectures from batch processing is a revolution in how companies use data. But what is the state of the art for a real-time data stack? Sijie Guo and Maosong Fu explore the typical challenges in a modern real-time data stack and explain how the modern technology will impact streaming architecture and applications in the future. Read more.
14:50–15:30 Friday, 2017-07-14
Location: 多功能厅6A+B(Function Room 6A+B) 观众水平 (Level): Intermediate
Mathieu Dumoulin (McKinsey & Company), Mateusz Dymczyk (H2O.ai)
Mathieu Dumoulin and Mateusz Dymczyk walk you step by step through building a scalable, real-time anomaly detection pipeline applied to an industrial robot. You'll learn how to gather data from a wireless movement sensor, process it with H2O on a MapR cluster, and visualize the output through an AR headset by an operator. Read more.
13:10–13:50 Saturday, 2017-07-15
Location: 多功能厅2(Function Room 2) 观众水平 (Level): 中级 (Intermediate)
Sijie Guo (StreamNative)
Sijie Guo explores the technical challenges of exactly once delivery and transaction support in messaging and streaming storage systems and explains how Apache DistributedLog helps achieve transactional streaming. Read more.

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