InfoQ Homepage Presentations Custom, Complex Windows @Scale Using Apache Flink
Custom, Complex Windows @Scale Using Apache Flink
Summary
Matt Zimmer talks about Apache Flink, an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications. He shows how to use this API to aggregate events into windows customized along varying definitions of a session. He discusses implementation details: handling out-of-order events, periodically emitting early results and more.
Bio
Matt Zimmer has been creating software for 17 years. His current role is Senior Software Engineer at Netflix. Previous roles include: leading the Playback Data Systems team and Engineer on the Streaming Server team. Engagements prior to Netflix include StumbleUpon, Intuit, Sightline Systems, and EMC.
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