IoT Architectures for Digital Twin with Apache Kafka
Kai Waehner
A digital twin is a virtual representation of something else. This can be a physical thing, process or…
Browsing Category
Machine Learning
40 posts
Streaming Machine Learning with Apache Kafka, Tiered Storage, TensorFlow
The combination of streaming machine learning (ML), Apache Kafka and Confluent Tiered Storage enables you to build one…
Apache Kafka as Digital Twin for Open, Scalable, Reliable Industrial IoT (IIoT)
This blog post discusses the benefits of a Digital Twin in Industrial IoT (IIoT) and its relation to…
Apache Kafka in the Automotive Industry
In November 2019, I had the pleasure to visit “Motor City” Detroit. I met with several automotive companies,…
IoT Live Demo – 100.000 Connected Cars with Kubernetes, Kafka, MQTT, TensorFlow
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 in IIoT
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 S7, Modbus, Beckhoff ADS, OPC-UA, et al). You can process the data at scale and then ingest it into a modern database or analytic / machine learning framework.
Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook
Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
Deep Learning Example: Apache Kafka + Python + Keras + TensorFlow + Deeplearning4j
“Python + Keras + TensorFlow + DeepLearning4j + Apache Kafka + Kafka Streams” => New example added to my “Machine Learning + Kafka Streams Examples” Github project.
MQTT + Apache Kafka => Video Recording from Kafka Summit Available
Processing IoT Data from End to End with MQTT and Apache Kafka => Video recording of my talk at Kafka Summit SF 2018 is online.
Deep Learning KSQL UDF for Streaming Anomaly Detection of MQTT IoT Sensor Data
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.
