Basic Features

This section describes the basic features of TDengine IDMP.

📄️ User Interface

You interact with TDengine IDMP through its web-based GUI. This document describes the layout of the GUI and common operations.

📄️ Data Modeling

The first step in using TDengine IDMP to manage data is to build an asset model for your data. When your data is stored in a database consisting of two-dimensional tables, the relationships between these tables are not always perceivable. The purpose of data modeling is to help you define and visualize the relationships among these tables, making it easier to manage, locate, and analyze your data.

📄️ Data Contextualization

TDengine IDMP provides data contextualization in the following ways:

📄️ Data Standardization

TDengine IDMP can handle heterogeneous data from disparate sources and databases, apart from TDengine TSDB-Enterprise. Considering the lack of unified standards for data collection, data standardization is an essential process.

🗃️ Data Visualization

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📄️ Real-Time Analysis

TDengine IDMP allows you to create real-time analyses for elements. This functionality is built on the stream processing component of TDengine TSDB-Enterprise but is configured through the TDengine IDMP user interface.

📄️ Event Management

TDengine IDMP provides event management along with basic root cause analysis capabilities. In TDegine IDMP, events can be generated automatically through real-time analytics or manually created. Each element has its own event list, but you can also view all events across all elements in the Events tab in the main menu.

📄️ Insights Pushed by AI

TDengine IDMP provides insights pushed by AI. Creating panels and real-time analytics manually requires a certain level of learning and a solid understanding of business context. To address this, TDengine IDMP leverages AI technology to intelligently perceive business scenarios based on collected data and configured business semantics and context. It can then proactively recommend the necessary dashboards and real-time analytics for business operations, significantly reducing the learning curve and the reliance on domain expertise.

📄️ Chat BI

TDengine IDMP allows you to ask the AI questions in natural language. The better and more precise your question, the more likely the AI will return a satisfactory answer.