TDengine Hands-on Workshop

A New Model for Industrial Data Consumption

This hands-on workshop will guide you through building a complete industrial data stack from the ground up using TDengine TSDB and TDengine IDMP. Starting with live data ingestion from industrial devices, you’ll learn how to efficiently store, query, and visualize massive streams of time-series data using TDengine’s high-performance database engine.

Next, we’ll introduce IDMP (Industrial Data Management Platform) — TDengine’s AI-native layer for data modeling, semantic standardization, and contextualization. You’ll see how to model assets, unify data definitions, and leverage IDMP’s intelligent insight engine to automatically generate dashboards and analytical views without writing SQL.

By the end of the session, you’ll have a working end-to-end system that transforms raw sensor data into structured, contextualized, and actionable intelligence — ready to power industrial analytics, predictive maintenance, and digital transformation initiatives.

Key takeaways include:

• Ingest, store, query, and visualize high-volume time-series data using TDengine TSDB.
• Use TDengine IDMP to create asset models, standardize data semantics, and add business context for analytics and decision-making.
• See how TDengine IDMP’s AI copilot produces dashboards, KPIs, and analysis tasks automatically using zero-query intelligence.

Who should attend:

• Industrial data engineers and architects: Professionals responsible for building or modernizing OT/IT data infrastructure.
• Automation and controls engineers: Teams managing SCADA, historian, and sensor data who want a more scalable and AI-ready platform.
• Analytics, digital transformation, and AI teams: Anyone looking to turn raw operational data into contextualized insights for predictive maintenance or advanced analytics.