TDengine is a time-series database purpose-built for Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. With TDengine making big data accessible, valuable, and affordable, digital transformation has never been easier.

TDengine

Real-time data visualization is critical for monitoring systems, detecting anomalies, and making informed decisions. But building effective dashboards that provide clear, actionable insights can be challenging—especially when dealing with time-series data at scale.

**Grafana** has become the go-to open-source tool for time-series visualization, but making sense of large volumes of data isn’t always straightforward. How do you efficiently query millions of data points without slowing down your dashboards? What’s the best way to structure your data sources for real-time updates? How can you configure visualizations to highlight trends, detect anomalies, and surface key metrics without overwhelming users?

In this webinar, we’ll break it all down. We’ll start with a high-level overview of Grafana and how it fits into the time-series data ecosystem. From there, we’ll walk through a real-world use case, outlining the architecture and key concepts before diving into a hands-on demo. You'll see exactly how to build a Grafana dashboard—connecting to a time-series database, utilizing queries, and designing visualizations that deliver meaningful insights.

To make sure you can apply what you’ve learned, we’re providing a **Docker Compose setup** so you can try it yourself. Whether you’re just getting started or looking to refine your skills, this session will give you everything you need to start building real-time dashboards with confidence.
