This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as a streaming platform to process IoT data. The session shows architectural alternatives of how devices like cars, machines or mobile devices connect to Apache Kafka via IoT standards like MQTT or OPC-UA.
Learn how to analyze the IoT data either natively on Apache Kafka with Kafka Streams / KSQL or other tools leveraging Kafka Connect. Kai Waehner will also discuss the benefits of Confluent Cloud and other tools like Confluent Replicator or MQTT Proxy to build bidirectional real time integration from the edge to the cloud.
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Kai Waehner, Technology Evangelist, Confluent
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 a 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: firstname.lastname@example.org / @KaiWaehner / www.kai-waehner.de
Konstantin Karantasis, Software Engineer, Confluent
Konstantine Karantasis is a Software Engineer at Confluent, Inc. He’s a main contributor to Apache Kafka and its Connect API and he’s the author of widely used software, such as Confluent’s S3 and Replicator Connectors, class loading isolation in Apache Kafka Connect, Confluent CLI and more. Previously, he built scalable open source web-services at Yahoo and did research on high-performance computing at the University of Illinois at Urbana-Champaign. Konstantine holds a Ph.D. from the University of Patras, Greece.