Скачать с ютуб High Scale, Distributed Stream Processing with Maximilian Michels - Flink, Kafka, Spark, Beam в хорошем качестве

High Scale, Distributed Stream Processing with Maximilian Michels - Flink, Kafka, Spark, Beam

Hey 👋 , In this video we are talking about Distributed Stream Processing at High scale with Maximilian Michels (  / maximilianmichels  ) , who is an expert in Data intensive applications and an open source maintainer for Apache Flink, Beam and other cool technologies. We have covered an introduction on Stream Processing at high scale: 00:00 - Podcast agenda and Introduction 03:15 - What is stream processing? 06:00 - Properties of Stream Processing. 08:25 - How does it compare with Batch Processing? 11:35 - Is there some batching involved in Stream processing? 13:00 - Applications of Stream Processing and when is it needed? 16:30 - Tools available for Stream Processing 20:48 - How does Apache Flink work? 30:10 - How is Kafka Streams api different as compared to Apache Flink ? 32:00 - What kind of scale can Flink easily support? 34:35 - Is making network call fine from a stream processing pipeline? 42:20 - Exactly once processing in Kafka streams and Flink 50:00 - How to test stream processing pipelines? And so many other important considerations based on real production experience in operating stream processing pipelines at a very high scale. I hope you like the video. Please like, share and subscribe 🙏 The GeekNarrator channel needs your love and support 😃 Regards, The GeekNarrator