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href=#fundamentals-of-stream-processing-with-apache-beam-1>Fundamentals of Stream Processing with Apache Beam</a></li><li><a href=#software-engineering-radio-podcast-episode-272-apache-beam>Software Engineering Radio Podcast Episode 272: Apache Beam</a></li><li><a href=#how-to-run-ml-inference-with-apache-beam>How to run ML Inference with Apache Beam</a></li></ul></li><li><a href=#beam--friends>Beam & Friends</a><ul><li><a href=#distributed-processing-for-machine-learning-production-pipelines>Distributed Processing for Machine Learning Production Pipelines</a></li><li><a href=#tensorflow-extended-an-end-to-end-machine-learning-platform-for-tensorflow>TensorFlow Extended: An End-to-End Machine Learning Platform for TensorFlow</a></li><li><a href=#flink-and-beam-current-state--roadmap>Flink and Beam: Current State & Roadmap</a></li><li><a href=#lessons-learned-from-developing-a-stream-processing-platform-at-scale>Lessons learned from developing a stream processing platform at scale</a></li></ul></li><li><a href=#technical-details>Technical Details</a><ul><li><a href=#watermarks-time-and-progress-in-apache-beam-and-beyond>Watermarks: Time and Progress in Apache Beam and Beyond</a></li><li><a href=#triggers-in-apache-beam>Triggers in Apache Beam</a></li><li><a href=#nexmark-evaluating-big-data-systems-with-apache-beam>Nexmark Evaluating Big Data systems with Apache Beam</a></li></ul></li><li><a href=#next-steps>Next Steps</a></li></ul></nav></nav><div class="body__contained body__section-nav"><h1 id=videos-and-podcasts>Videos and Podcasts</h1><p>This page provides links to some of our favorite videos and podcasts that will help you get started and learn more about Apache Beam.</p><ul><li><a href>Introduction</a></li></ul><iframe class="video video--medium-size" width=560 height=315 src="https://www.youtube.com/embed/videoseries?list=PLIivdWyY5sqIEiHGunZXg_yoS7unlHNJt" frameborder=0 allowfullscreen></iframe><br><nav id=TableOfContents><ul><li><a href=#general>General</a><ul><li><a href=#fundamentals-of-stream-processing-with-apache-beam>Fundamentals of Stream Processing with Apache Beam</a></li><li><a href=#apache-beam-a-unified-model-for-batch-and-streaming-data-processing>Apache Beam: A Unified Model for Batch and Streaming Data Processing</a></li><li><a href=#fundamentals-of-stream-processing-with-apache-beam-1>Fundamentals of Stream Processing with Apache Beam</a></li><li><a href=#software-engineering-radio-podcast-episode-272-apache-beam>Software Engineering Radio Podcast Episode 272: Apache Beam</a></li><li><a href=#how-to-run-ml-inference-with-apache-beam>How to run ML Inference with Apache Beam</a></li></ul></li><li><a href=#beam--friends>Beam & Friends</a><ul><li><a href=#distributed-processing-for-machine-learning-production-pipelines>Distributed Processing for Machine Learning Production Pipelines</a></li><li><a href=#tensorflow-extended-an-end-to-end-machine-learning-platform-for-tensorflow>TensorFlow Extended: An End-to-End Machine Learning Platform for TensorFlow</a></li><li><a href=#flink-and-beam-current-state--roadmap>Flink and Beam: Current State & Roadmap</a></li><li><a href=#lessons-learned-from-developing-a-stream-processing-platform-at-scale>Lessons learned from developing a stream processing platform at scale</a></li></ul></li><li><a href=#technical-details>Technical Details</a><ul><li><a href=#watermarks-time-and-progress-in-apache-beam-and-beyond>Watermarks: Time and Progress in Apache Beam and Beyond</a></li><li><a href=#triggers-in-apache-beam>Triggers in Apache Beam</a></li><li><a href=#nexmark-evaluating-big-data-systems-with-apache-beam>Nexmark Evaluating Big Data systems with Apache Beam</a></li></ul></li><li><a href=#next-steps>Next Steps</a></li></ul></nav><h2 id=general>General</h2><p>The following resources provide general overviews and fundamentals of Apache Beam.</p><h3 id=fundamentals-of-stream-processing-with-apache-beam>Fundamentals of Stream Processing with Apache Beam</h3><p>Data Science Summit, Jerusalem, 2016</p><p>Presented by Tyler Akidau, <em>Apache Beam PPMC member</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/V35MwYcXEX0 frameborder=0 allowfullscreen></iframe><br><h3 id=apache-beam-a-unified-model-for-batch-and-streaming-data-processing>Apache Beam: A Unified Model for Batch and Streaming Data Processing</h3><p>Hadoop Summit, San Jose, CA, 2016</p><p>Presented by Davor Bonaci, <em>Apache Beam PPMC member</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/7DZ8ONmeP5A frameborder=0 allowfullscreen></iframe><br><h3 id=fundamentals-of-stream-processing-with-apache-beam-1>Fundamentals of Stream Processing with Apache Beam</h3><p>@Scale Conference, San Jose, CA, 2016</p><p>Presented by Dan Halperin, <em>Apache Beam PPMC member</em></p><p><a href="https://www.facebook.com/plugins/video.php?href=https%3A%2F%2Fwww.facebook.com%2Fatscaleevents%2Fvideos%2F1775945569345206%2F&show_text=0&width=560">Link to Video</a><br></p><h3 id=software-engineering-radio-podcast-episode-272-apache-beam>Software Engineering Radio Podcast Episode 272: Apache Beam</h3><p>Presented by Frances Perry, <em>Apache Beam PPMC member</em></p><p><a href=https://www.se-radio.net/2016/10/se-radio-episode-272-frances-perry-on-apache-beam/ target=_blank><img src=/images/resources/se-radio-podcast.png alt="alt text"></a><br></p><h3 id=how-to-run-ml-inference-with-apache-beam>How to run ML Inference with Apache Beam</h3><p>Video by Cassie Kozyrkov</p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/ga2TNdrFRoU frameborder=0 allowfullscreen></iframe><br><h2 id=beam--friends>Beam & Friends</h2><p>The following resources present Apache Beam partnerships.</p><h3 id=distributed-processing-for-machine-learning-production-pipelines>Distributed Processing for Machine Learning Production Pipelines</h3><p>Flink Forward, 2020</p><p>Presented by Ahmet Altay, Robert Crowe, Reza Rokni</p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/jV1WFTmm4qg frameborder=0 allowfullscreen></iframe><br><h3 id=tensorflow-extended-an-end-to-end-machine-learning-platform-for-tensorflow>TensorFlow Extended: An End-to-End Machine Learning Platform for TensorFlow</h3><p>Spark+AI, San Francisco, 2019</p><p>Presented by Konstantinos Katsiapis, Ahmet Altay</p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/GTibgKo7WaI frameborder=0 allowfullscreen></iframe><br><h3 id=flink-and-beam-current-state--roadmap>Flink and Beam: Current State & Roadmap</h3><p>Flink Forward, Berlin, 2016</p><p>Presented by Maximilian Michels, <em>Apache Beam PPMC member</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/msdjh6KRXC8 frameborder=0 allowfullscreen></iframe><br><h3 id=lessons-learned-from-developing-a-stream-processing-platform-at-scale>Lessons learned from developing a stream processing platform at scale</h3><p>Big Things Meetup, Tel Aviv, 2016</p><p>By Amit Sela, <em>Apache Beam PPMC member</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/fc-YigLn_gs frameborder=0 allowfullscreen></iframe><br><h2 id=technical-details>Technical Details</h2><p>The following resources provide detailed explanations about technical concepts in Apache Beam.</p><h3 id=watermarks-time-and-progress-in-apache-beam-and-beyond>Watermarks: Time and Progress in Apache Beam and Beyond</h3><p>Strata+Hadoop World, New York, 2016</p><p>Presented by Slava Chernyak, <em>Software Engineer at Google</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/TWxSLmkWPm4 frameborder=0 allowfullscreen></iframe><br><h3 id=triggers-in-apache-beam>Triggers in Apache Beam</h3><p>Strata+Hadoop World, New York, 2016</p><p>Presented by Kenneth Knowles, <em>Apache Beam PPMC member</em></p><iframe class="video video--medium-size" width=560 height=315 src=https://www.youtube.com/embed/E1k0B9LN46M frameborder=0 allowfullscreen></iframe><h3 id=nexmark-evaluating-big-data-systems-with-apache-beam>Nexmark Evaluating Big Data systems with Apache Beam</h3><p>ApacheCon, Miami, 2017</p><p>Presented by Etienne Chauchot and Ismaël Mejia, <em>Apache Beam PMC members</em></p><p><a href=https://www.slideshare.net/slideshow/embed_code/key/auWXjEK7GTkiUK>Link to Slides</a> |
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| ### Universal metrics with Apache Beam<p>ApacheCon, Montreal, 2018</p><p>Presented by Etienne Chauchot, <em>Apache Beam PMC member</em></p><p><a href=https://www.slideshare.net/slideshow/embed_code/key/kKJRzR8HxkxLsR>Link to Slides</a> |
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