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Stream Processing & Analytics with Flink @Uber
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| by Danny Yuan Follow 1 Followers on Mar 25, 2017 | NOTICE: The next QCon is in London Mar 5-9, 2018. Join us!

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47:47

Summary
Danny Yuan discusses how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing. He focuses on Uber's stream processing systems that supports many types of real-time analysis and forecasting of geospatial time series, as well as discovery and extracting interesting patterns from data streams.

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Bio

Danny Yuan is a software engineer at Uber. He’s currently working on streaming systems for Uber’s marketplace platform. Prior to joining Uber, he worked on building Netflix’s cloud platform. His work includes predictive auto-scaling, distributed tracing service, real-time data pipeline that scaled to process hundreds of billions of events every day, and Netflix’s low-latency crypto services.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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