Apache: Big Data Europe 2016
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Wednesday, November 16 • 11:00 - 11:50
Introduction to Apache Beam - Jean-Baptiste Onofré, Apache Software Foundation & Dan Halperin, Google

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Apache Beam is a unified programming model designed to provide efficient and portable data processing pipelines. The same Beam pipelines work in batch and streaming, and on a variety of open source and private cloud big data processing backends including Apache Flink, Apache Spark, and Google Cloud Dataflow. This talk will introduce Apache Beam's programming model and mechanisms for efficient execution. The speakers will show how to build Beam pipelines, and demo how to use it to execute the same code across different runners.


Daniel Halperin

Dan Halperin is a PMC member of Apache Beam. He has worked on Beam and Google Cloud Dataflow for 2 years. Previously, he was the director of research for scalable data analytics at the University of Washington eScience Institute, where he worked on scientific big data problems in... Read More →

Jean-Baptiste Onofré

JB is PMC member for Apache Beam. He is a long-tenured Apache member, serving on PMC/committer for about 15 projects that range from integration to big data.

Wednesday November 16, 2016 11:00 - 11:50 CET
Nervion/Arenal II/III