Kai provides a great explanation about when to use MQTT/UNS with Confluent/Kafka. My takeaway: Having the current state of the business in UNS hierarchy of topics is not enough. Many use cases require integration with context and transaction data from non-IoT/OT systems. Also having an event store with automatic tiered storage enables you to bring in relevant historical data. All of this context is essential for Real-Time AI data stream processing. #uns #mqtt #ai #eventstreaming
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"#MQTT and #ApacheKafka: A Match Made in Heaven" => Success stories exist from many companies, like BMW, Porsche, ZF, and more... Apache Kafka and MQTT are a perfect combination for many #IoT use cases. In the below talk, I look at the pros and cons of both technologies, and how they are complementary. Various real-world case studies across industries are discussed, including connected vehicles, manufacturing, mobility services, and smart city. The examples use different architectures and best practices for lightweight edge scenarios, hybrid integrations, or serverless cloud solutions. https://lnkd.in/eS-Av-t6
