Sift's data model

Overview

Sift's data model provides a structured framework for organizing, evaluating, analyzing, and transforming time-series telemetry data. It enables users to efficiently manage complex sensor streams, monitor system behavior, and generate insights in real-time or through retrospective analysis. The model is organized into the following primary areas:

• Organizing data: Sift organizes telemetry data using:
  • Assets
  • Channels
  • Runs
• Evaluating data: Sift evaluates data using:
  • Rules
  • Report Templates
• Analyzing data: Sift analyzes data using:
  • Annotations
  • Reports
  • Campaigns
• Transforming data: Sift transforms data using:
  • Calculated Channels
  • User-defined Functions