Concepts

For a deeper understanding of how your logging data can be organized and visualized, it is useful to learn about the underlying concepts in Rerun.

• How does Rerun work?
  The high-level architecture and how the pieces fit together
• Log and Ingest
  How data is structured, batched, and sent to Rerun
• Visualize
  How data is laid out and displayed in the Viewer
• Query and Transform
  The catalog, dataframe queries, and reshaping data with lenses
• Train
  Feed catalog recordings into training pipelines via export or PyTorch

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