Enhancing IIoT Efficiency with Digital Twins: Scalable Data Pipelines
Session Date: Jul 14, 2025
Time: 8:00am (PT) | 3:00pm (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.
Heather Downing
Senior Developer Advocate, InfluxData
Heather Downing is a Senior Developer Advocate for InfluxData with a passion for data telling compelling stories through developer-friendly tools. She takes complex data challenges and translates them into accessible solutions that help developers build meaningful applications with the right tools for the job. When she is not behind a screen, you can find her outside hiking across the world, practicing mounted archery, or supporting the growth of developers at tech conferences worldwide.
