Enhancing IIoT Efficiency with Digital Twins: Scalable Data Pipelines
Session Date: Nov 06, 2025
Time: 8:00am (PT) | 4:00pm (GMT)
In this hands-on training, we explore the development of scalable data pipelines for Industrial IoT (IIoT) applications using a dynamic set of technologies, including Kafka, Faust, Telegraf, and InfluxDB. We will focus on the application of digital twins in the context of Continuous Stirred-Tank Reactors (CSTRs), demonstrating how digital replicas of these reactors enhance monitoring and operational capabilities in chemical processes.
By simulating CSTRs in real-time, digital twins facilitate precision in analytics and proactive decision-making. This approach not only focuses on building efficient, real-time data pipelines capable of handling high throughput but also optimizes the performance of industrial operations in manufacturing, energy, and other sectors.
In this training, you will learn:
- The advantages of using InfluxDB for IIoT data collection and analysis.
- How to leverage Faust, Kafka, and Telegraf to build scalable data pipelines.
- The significant role of digital twins in improving the efficiency and safety of CSTR operations, enabling sophisticated and effective data processing without relying on machine learning models.
