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Simplifying ML Workflows with Apache Beam
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| by Tyler Akidau Follow 1 Followers on Jun 19, 2018 |
23:39

Summary
Tyler Akidau discusses how Apache Beam is simplifying pre- and post-processing for ML pipelines.

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Bio

Tyler Akidau is a senior staff software engineer at Google, where he is the technical lead for the Data Processing Languages & Systems group, responsible for Google's Apache Beam efforts, Google Cloud Dataflow, and internal data processing tools like Google Flume, MapReduce, and MillWheel. His also a founding member of the Apache Beam PMC.

QCon.ai is a AI and Machine Learning conference held in San Francisco for developers, architects & technical managers focused on applied AI/ML.

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