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Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber
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| by Shuyi Chen Follow 0 Followers , Fabian Hueske Follow 0 Followers on Jun 19, 2018 |
33:49

Summary
Shuyi Chen and Fabian Hueske explore SQL’s role in the world of streaming data and its implementation in Apache Flink and covering streaming semantics, event time, and incremental results.

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Bio

Shuyi Chen is a senior software engineer at Uber working on building scalable real-time data platform and solutions. He is the tech lead of Uber’s stream processing platform team. Fabian Hueske is a committer and PMC member of the Apache Flink project. He was one of the three original authors of the Stratosphere research system, from which Apache Flink was forked in 2014.

QCon.ai is a AI and Machine Learning conference held in San Francisco for developers, architects & technical managers focused on applied AI/ML.

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