TDengine® is an AI-native industrial data platform built for a wide range of industrial use cases. It brings together TDengine IDMP, TDengine TSDB, TDgpt, TDmodel, and other components in one platform, covering data ingestion, storage, querying, real-time analytics, ontology modeling, visualization, industrial AI agents, root cause analysis, AI insights, and application development.

TDengine

# From Live Data to Asset Model

The most requested topic following our first TDengine Free Tier Workshop was clear: before building dashboards and using AI, teams need a strong data foundation.

In Session 2, we’ll build that foundation together. You’ll see how to connect live industrial data through OPC UA and MQTT, configure data collection and tag mapping, and turn raw tags into a structured equipment and asset model.

**During this hands-on workshop, you’ll learn how to:**

*   Connect live OPC UA and MQTT data sources
*   Configure data collection and tag mapping
*   Store incoming time-series data in TDengine
*   Organize equipment into an asset hierarchy
*   Create attributes and add operational context
*   Prepare the data for dashboards, events, analytics, and AI
*   Apply the same approach to other common industrial data sources

No previous TDengine experience is required, and you do not need to have attended [Session 1](https://tdengine.com/workshop-get-started-with-tdengine-in-60-minutes/).

To participate hands-on, please [install TDengine All-in-One](https://tdengine.com/downloads/?product=TDengine+All-in-One)[ ](https://tdengine.com/downloads/?product=TDengine+All-in-On)before the workshop.

TDengine is free forever for deployments with up to 5,000 tags, including production use. For more information, please visit [TDengine Free Tier](https://tdengine.com/free-tier/).
