Data Management
Overview
Data Management is a critical component of WEDA's IoT data processing pipeline, enabling users to derive meaningful insights from raw sensor data and receive timely notifications based on defined conditions. Highlighting how to manage telemetry data, define transfer functions for data transformation, and set up alert rules for monitoring device data. The complete data processing workflow involves several key concepts:
- sensor: Represents a raw data point or channel from a device (e.g., temperature, humidity).
- function transfer: A mathematical expression that transforms raw sensor data into derived data objects (e.g., converting Celsius to Fahrenheit).
- CPQ (Current Process Quantity): The latest value of a specific data object, often used for real-time monitoring and alerting.
- Alert Rule: A set of conditions that trigger notifications when certain thresholds are met for specific data objects.
- Notification: The message sent to users when an alert rule is triggered, which can be configured with different channels (e.g., email, teams) and templates.
To provide clear and focused documentation, the container workflow has been divided into three dedicated articles.
Data Objects & Alert Rules: Explore the Data Objects Management capabilities of WEDA Core, including transfer functions, and alert rules.
Telemetry & Sensors: Learn about the Telemetry and Sensors capabilities in WEDA, including how to manage device telemetry, configure sensors, and utilize these features for enhanced device management and analytics.
Notifications: Learn about the Notification capabilities in WEDA, including how to manage notification channels, templates, and delivery status for effective alerting and communication within your IoT ecosystem.