Stat Legend
Data Dictionary — Star
Field-level docs for star tables (253 total)
Generated field inventory
Treat the star dictionary as the public column inventory
This is the exact field sheet for analyst-facing tables. Use it to verify public names, sources, and nullability, then switch to curated schema pages for grain, join strategy, and common usage.
confirm the final warehouse columns analysts and dashboards actually touch
prefixes such as `dim_`, `fact_`, `bridge_`, and `analytics_` tell you how to read the block
regenerate from schema metadata instead of hand-editing
Identify the table family first
Dimensions, facts, bridges, and analytics surfaces answer different questions even when some columns look similar.
Use the Source column to check provenance
Generated source paths are the fastest way to see whether a public field came straight from upstream or from a derived transform step.
Switch back to curated schema pages for judgment
This page tells you what exists. The curated schema pages tell you which public table is the smartest place to start.
Next possession
Move from column meaning to analyst usage
The star dictionary tells you what the public fields are. These next pages tell you which table families own them, how analysts usually join them, and where the fastest workflows already live.
Dimensions
Start with the lineup card for identity, calendar, and lookup context.
Facts & Bridges
Match the field inventory to the right measurement family and logical grain.
Analytics Quickstart
See how the public surface turns into practical DuckDB-first analyst workflows.
Data Dictionary — Star
This tier contains 253 tables.
Progressive scan
Open only the generated family and contract you need
The full board is still here, but it now stays grouped until you open a family or filter to the exact table you need.
Companion cuts
Choose the right public surface after you confirm the field
Use these curated pages to turn an exact field lookup into a table-family decision or a first working analysis.
Start with dimensions when you need entity context
Use the dimension lineup card for identity, calendar, venue, and lookup surfaces.
Pick the smallest useful fact or bridge
Move from field inventory into grain-aware measurement families before you write a query.
Turn the public surface into a first analysis
See the DuckDB-first analyst workflow that sits on top of these public columns.