Analytics
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
28. November 2019
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
In November 2019, I had the pleasure to visit “Motor City” Detroit. I met with several automotive companies, suppliers, startups and cloud providers to discuss
Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kubernetes, Kafka, MQTT and TensorFlow leveraging Confluent and HiveMQ.
This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service mesh for
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
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
Kafka Operator for Kubernetes – Confluent Operator to establish a Cloud-Native Apache Kafka Platform on Kubernetes (OpenShift, CloudFoundry, Hybrid Cloud).
I just want to share my lightboard video recording. I talk about IoT integration and processing with Apache Kafka using Kafka Connect, Kafka Streams, KSQL,
This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues
Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
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