Industrial Data Hub / Lake

An Industrial Data Hub/Lake serves as a unified repository for all your data, from real-time sensor readings to historized operational data. By contextualizing and organizing data, it ensures that information is not only stored but also made meaningful and accessible for analytics, reporting, and optimization.

Key features include:

• Data Integration: Aggregates data from control systems, IoT devices, ERP systems, and more.
• Real-Time and Historized Data: Supports both immediate insights and long-term trend analysis.
• Contextualization: Organizes data with relevant context, such as asset hierarchies or process relationships.
• Scalability: Handles large volumes of data across enterprise operations.
• Future-Proofing: Integrates seamlessly with existing technologies while remaining adaptable for future needs.

1. Data Collection: The hub/lake ingests data from various sources (e.g., IoT devices, control systems, and sensors) using industry-standard interfaces like OPC UA, MQTT, and REST APIs.

2. Processing & Contextualization: Data is processed and organized with relevant context, such as asset hierarchies or process relationships, to ensure usability.

3. Storage: Both real-time and historized data are stored securely, supporting large-scale scalability for future needs.

4. Access & Analytics: The system provides secure, enterprise-ready access to data through APIs or dashboards, enabling analytics, reporting, and decision-making.