Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
Processing IoT Data from End to End with MQTT and Apache Kafka => Video recording of my talk at Kafka Summit SF 2018 is online.
Machine Learning / Deep Learning models can be used in different ways to do predictions. Natively in the application or hosted in a remote model server. Then you combine stream processing with RPC / Request-Response paradigm. This blog post shows examples of stream processing vs. RPC model serving using Java, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving.
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…
At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical…
I am happy that my first official Confluent blog post was published and want to link to it from by blog: How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.