Analytics
The combination of streaming machine learning (ML), Apache Kafka and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for
9. February 2020
The combination of streaming machine learning (ML), Apache Kafka and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for
This blog post discusses the benefits of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka. Kafka is often used as
Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kubernetes, Kafka, MQTT and TensorFlow leveraging Confluent and HiveMQ.
Apache Kafka and Machine Learning for Real Time Supply Chain Optimization: Integrate in real time with the legacy world and proprietary IIoT protocols (like Siemens
Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
