•   Kai Wähner
  •   Dienstag, 08. Dez 2020
  •   16:00 - 16:45
  •  Track 3
  • Session

A digital twin is a digital replica of a living or non-living physical entity. This session discusses the benefits of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka. Kafka is often used as central event streaming platform to build a scalable and reliable digital twin for real time streaming sensor data. A live demo shows a scalable digital twin infrastructure for condition monitoring and predictive maintenance in real time for a connected car infrastructure leveraging Kafka, MQTT and TensorFlow

Key Take-Aways:

  • Learn how to build a digital twin for every single (of tens of thousands) IoT device or machine
  • Bring added value to your IoT infrastructure by enabling use cases like predictive maintenance
  • Understand how the Apache Kafka enables scalable and flexible end-to-end integration processing from IIoT data to various backend applications
  • Watch a live demo of an end-to-end integration, real time processing and analytics of thousands of IoT devices