Apache Kafka and Event Streaming in Pharma and Life Sciences
This blog post covers use cases and architectures for Apache Kafka and Event Streaming in Pharma and Life…
Browsing Tag
machine learning
27 posts
Apache Kafka as Data Historian – an IIoT / Industry 4.0 Real Time Data Lake
‘Data Historian‘ is a well-known concept in Industrial IoT (IIoT). It helps to ensure and improve the Overall…
Apache Kafka and Machine Learning in Banking and Finance Industry
The combination of Apache Kafka and Machine Learning / Deep Learning are the new black in Banking and…
IoT Architectures for Digital Twin with Apache Kafka
A digital twin is a virtual representation of something else. This can be a physical thing, process or…
Smart City with an Event Streaming Platform like Apache Kafka
A smart city is an urban area that uses different types of electronic Internet of Things (IoT) sensors…
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 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, KSQL and Apache PLC4X for IIoT Data Integration and Processing
Data integration and processing in Industrial IoT (IIoT, aka Industry 4.0 or Automation Industry). Apache Kafka, its ecosystem (Kafka Connect, KSQL) and Apache PLC4X are a great open source choice to implement this integration end to end in a scalable, reliable and flexible way.
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.
