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► TRY THIS YOURSELF: https://cnfl.io/dot-net-kafka-module-1 Producing messages to a Kafka topic isn't much use unless you can consume them later. This requires a Kafka Consumer to be implemented. They are responsible for handling the messages, but they don't control the format. Instead, they will need to read the data according to whatever schema it was published with. They will take that incoming data and deserialize it to a C# class or struct where it can be further processed. In this video, we'll see how to create and configure a consumer, as well as how to create a simple message processing loop. ► For a COMPLETE IMMERSIVE HANDS-ON EXPERIENCE, go to https://cnfl.io/dot-net-kafka-module-1 -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #dotnet #csharp #apachekafka #kafka #confluent
Apache Kafka® is a fast, scalable, reliable system that can be a great fit for .NET applications due to its powerful, real-time data processing features. But how do you use Kafka with .NET? What's the best way to get started? In this course, we'll show you how to build a simple streaming system using C# and ASP.NET. You'll learn how to connect your application to a Kafka Cluster hosted by Confluent Cloud, how to produce and consume messages from your Kafka cluster, and finally, how to scale your application while achieving different message delivery guarantees. By the end of the course, you will have a small working set of services using Apache Kafka as their communication layer. Learn more: https://cnfl.io/dot-net-kafka-module-1