Data Model
Explore Sift's data model, which is purpose-built to manage, evaluate, and analyze your assets' time-series data.
Sift’s data model provides a structured framework for managing time-series data from your assets. It supports efficient and seamless data streaming, real-time rule evaluation, and tools for reviewing, visualizing, and analyzing data.
This section covers key concepts, including:
- Assets, channels, and runs: Core components for organizing and managing time-series data.
- Annotations, rules, and reports: Tools for data review and real-time anomaly detection.
- Calculations on channels: Capabilities for processing and running calculations on raw sensor data to extract insights.