IoTSuite/DataInsight (Data Integration and Analysis Service)

WISE-IoTSuite/DataInsight Architecture Diagram

Starting from the bottom layer, data sources are divided into two major categories: OT (Operational Technology) data from devices and IT (Information Technology) data from information systems. The collection of OT data is facilitated by edge acquisition tools, leveraging the IoT Edge of the Advantech Industrial Internet Platform for edge computing and forwarding to the big data platform. IT data is accessed into the big data platform through methods such as JDBC/Restful API/Web Service, achieving unified data management at the platform layer.

Once data is accessed into the platform, it undergoes data integration and computation functions for filtering, cleaning, and preprocessing. Following this, data modeling is conducted, and different thematic databases are built around business aspects, forming a data sharing platform. The data platform also provides flexible data permission settings to ensure secure data access and offers data to upper-layer services through various access methods.

At the data application layer, DataInsight provides access methods such as JDBC/ODBC and APIs, facilitating integration with third-party systems. DataInsight is deeply integrated with our cloud platform's visualization service, VisualSuite, enabling convenient visual display or business intelligence analysis. It can also interface with external self-service analysis services, such as PowerBI and Tableau, providing them with data preprocessing and analysis. Additionally, it aids in connecting multi-source heterogeneous internal and external enterprise data for solutions and provides diverse, high-quality data for AI.