Explore the world of Apache Kafka as an event streaming platform for .NET developers in this comprehensive conference talk. Dive into the internal architecture of Kafka, learning how it partitions messaging workloads in a fault-tolerant manner and provides message durability. Discover Kafka's approach to pub/sub messaging and how the Confluent .NET client offers a framework for computation over streaming data. Gain insights into building enterprise architectures, understanding event streaming platforms, and implementing key concepts such as logs, queues, and consumer groups. Learn about Kafka Connect, deployment strategies, data replication, and Kafka's messaging systems. Follow along with a demo showcasing Confluence CLI, HDInsight, and Kafka Client. Delve into advanced topics like stream processing, stateful processing, and fraud protection. Explore practical applications through examples like continuous queries and fake Twitter interactions. By the end of this talk, acquire a solid understanding of Apache Kafka's capabilities as a world-class, horizontally scalable stream data processing system for .NET developers. Read more