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Overview for Apache Flink

Apache Flink 101 - the rise of stream processing and beyond

This talk is about some Flink use cases and basic requirements of stream processing, and how Flink fills the gaps and stands out with some of its unique core building blocks, like pipelined execution, native event time support, state support, and fault tolerance.

There is also a highlight of how Flink is going beyond stream processing into areas like unified data processing, enterprise intergration, AI/machine learning  especially online ML, and serverless computation, and how Flink fits with its distinct value.

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Apache Beam meetup 7 at Datatonic: Beam at Lyft + datalake using Beam + schemas

See how Lyft and Datatonic are using Apache Flink, Apache beam and python in stream processing, machine learning and analytics.

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