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Presentations
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Patterns of Streaming Applications
Monal Daxini talks about streaming application patterns and anti-patterns, and use cases and concrete examples using Apache Flink.
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Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber
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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Next Steps in Stateful Streaming with Apache Flink
Stephan Ewan talks about how Apache Flink is making stateful stream processing even more expressive and flexible to support applications in streaming that were previously not considered streamable.
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The Power of Distributed Snapshots in Apache Flink
Stephan Ewen talks about how Apache Flink handles stateful stream processing and how to manage distributed stream processing & data driven applications efficiently with Flink's checkpoints&savepoints.
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Custom, Complex Windows @Scale Using Apache Flink
Matt Zimmer discusses Apache Flink, how to use it to aggregate events into windows customized along varying definitions of a session, handling out-of-order events, and more.
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Stream Processing with Apache Flink
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.
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