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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.


Speakers
DH

Dan Halperin

Google
Dan Halperin is a PPMC member and committer on Apache Beam (incubating). He has worked on Beam and Google Cloud Dataflow for 18 months. Prior to that, 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 oceanography, astronomy, medical informatics, and the life sciences. Dan received his Ph.D. in Computer Science and Engineering at the... Read More →
JO

Jean-Baptiste Onofré

Apache Software Foundation
JB is Apache Beam's champion and a member of the Beam PPMC. He is a long-tenured Apache Member, serving on as PMC/committer for 20 projects that range from integration to big data. | | Dan is a Beam PPMC member, committer, and a Google software engineer working on Apache Beam and the Google Cloud Dataflow runner for Beam.


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

Attendees (43)