Big Data Spain: Talk about KSQL – The Streaming SQL Engine for Apache Kafka
Kai Waehner
KSQL – The Open Source Streaming SQL Engine for Apache Kafka => Slides from my talk at Big Data Spain 2018 are online. Check it out!
Browsing Tag
Stream Processing
58 posts
Apache Kafka + MQTT = End-to-End IoT Integration (Code, Slides, Video)
MQTT and Apache Kafka are a perfect combination for end-to-end IoT integration from edge to data center. This post discusses two different approaches and refers to implementations on Github using Apache Kafka, Kafka Connect, Confluent MQTT Proxy and Mosquitto.
Model Serving: Stream Processing vs. RPC / REST with Java, gRPC, Apache Kafka, TensorFlow
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.
Apache Kafka + KSQL Live Demo (Video Recording) using CSV, JSON, Apache Avro
Apache Kafka + KSQL Live Demo using CSV, JSON, Apache Avro. 10min live demo to get introduced to KSQL – the streaming SQL engine for Apache Kafka. Write and deploy SQL queries for stream processing instead of source code.
Deep Learning at Extreme Scale with the Apache Kafka Open Source Ecosystem
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…
Rethinking Stream Processing with Apache Kafka, Kafka Streams and KSQL
I presented at JavaLand 2018 in Brühl recently. A great developer conference with over 1800 attendees. The location…
Visualisation from my Apache Kafka + Mesos Session at OOP 2018
I did some talks about “Apache Kafka + Apache Mesos = Highly Scalable Microservices” in the last months……
Apache Kafka + Kafka Streams + Mesos / DCOS = Scalable Microservices
Apache Kafka + Kafka Streams + Apache Mesos = Highly Scalable Microservices. Mission-critical deployments via DC/OS and Confluent on premise or public cloud.
Deep Learning in Real Time with TensorFlow, H2O.ai and Kafka Streams (Slides from JavaOne 2017)
Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.
Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc. to add AI. Embed Kafka Streams into Java App, Docker, Kubernetes, Mesos, anything else.
