Apache Kafka & the IoT (Meetup #30)

Details

A meetup presented by IoT Hessen & Frankfurt Apache Kafka® Meetup by Confluent (https://www.meetup.com/de-DE/Frankfurt-Apache-Kafka-Meetup-by-Confluent/).

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As usual, please register by sending an e-mail to [masked]. Since there's already a waiting list, there will be no admission without e-mail registration.
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Agenda:

6 pm: Doors open
6:15 pm: Talk by Kai Wähner, Confluent
7:15 pm - open end: Pizza, drinks, networking

This talk by Kai Waehner discusses end-to-end use cases such as connected cars, smart home or healthcare sensors, where you integrate Internet of Things (IoT) devices with enterprise IT using open source technologies and standards. MQTT is a lightweight messaging protocol for IoT. However, MQTT is not built for high scalability, longer storage or easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform, which ingests, stores, processes and forwards high volumes of data from thousands of IoT devices.

Kai Waehner discusses the Apache Kafka open source ecosystem as a streaming platform to process IoT data. See a live demo of how MQTT brokers like Mosquitto integrate with Kafka, and how you can even integrate MQTT clients to Kafka without MQTT Broker. Learn how to analyze the IoT data either natively on Kafka with Kafka Streams / KSQL or on an external big data cluster like Spark, Flink or Elasticsearch leveraging Kafka Connect.

About the speaker:
Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog). Contact and references: [masked] / @KaiWaehner (https://twitter.com/KaiWaehner) / www.kai-waehner.de