Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem

Posted in Analytics, Apache Kafka, Apache Spark, Big Data, Business Intelligence, Confluent, Deep Learning, Kafka Streams, KSQL, Kubernetes, Machine Learning, Microservices, Open Source, Stream Processing on February 13th, 2018 by Kai Wähner

At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical microservices with the Apache Kafka ecosystem and Deep Learning frameworks like TensorFlow, DeepLearning4J or H2O. I want to share the updated slide deck and discuss a few updates about newest trends, which I incorporated into the talk.

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Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)

Posted in Analytics, Apache Kafka, Apache Spark, Big Data, Confluent, Hadoop, Integration, Kafka Connect, Kafka Streams, Machine Learning, Messaging, Microservices, Open Source, Stream Processing on May 23rd, 2017 by Kai Wähner

I started at Confluent in May 2017 to work as Technology Evangelist focusing on topics around the open source framework Apache Kafka. I think Machine Learning is one of the hottest buzzwords these days as it can add huge business value in any industry. Therefore, you will see various other posts from me around Apache Kafka (messaging), Kafka Connect (integration), Kafka Streams (stream processing), Confluent’s additional open source add-ons on top of Kafka (Schema Registry, Replicator, Auto Balancer, etc.). I will explain how to leverage all this for machine learning and other big data technologies in real world production scenarios.

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