KSQL UDF for sensor analytics. Leverages the new API features of KSQL to build UDF / UDAF functions easily with Java to do continuous stream processing with Apache Kafka. Use Case: Connected Cars – Real Time Streaming Analytics using Deep Learning.
Read why enterprises leverage the open source ecosystem of Apache Kafka for successful integration of different legacy and modern applications instead of ESB, ETL or MQ.
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 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.
KSQL is the open source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka. This post shows a deep dive (slides + video recording) including its relation to Kafka Connect and Kafka Streams, concepts, architecture and deployment options.