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