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SE Radio 272: Frances Perry on Apache Beam
Jeff Meyerson talks with Frances Perry about Apache Beam, a unified batch and stream processing model. Topics include a history of batch and stream processing, from MapReduce to the Lambda Architecture to the more recent Dataflow model, originally defined in a Google paper. Dataflow overcomes the problem of event time skew by using watermarks and other methods discussed between Jeff and Frances. Apache Beam defines a way for users to define their pipelines in a way that is agnostic of the underlying execution engine, similar to how SQL provides a unified language for databases. This seeks to…
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