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Overview

Before covering the different import options, let’s review how Sift organizes time-series data.

Assets, Channels, and Runs

Sift uses three core building blocks: Assets, Channels, and Runs. These building blocks help structure telemetry data, making it easier to explore, analyze, and reuse it across different experiments or observation periods.
  • Assets: These represent physical or virtual systems that generate data.
  • Channels: These represent individual time-series signals recorded from an Asset.
  • Runs: These represent time windows or observation sessions during which data is collected from one or more Channels.