nbadb
v4star schemaDuckDBNBA warehouse docs with an actual court view: endpoint coverage, possession-level lineage, and analyst-ready tables laid out like a scouting board instead of a generic software landing page.
Dimensions, facts, bridges, and derived views packaged like a scouting department data room.
Box scores, play-by-play, draft, standings, shot charts, synergy, and more in one reference system.
Guides, diagrams, and lineage pages that explain how raw feeds become analyst-ready tables.
Pick the first route by job to be done: quick analyst reps, daily pipeline operations, table scouting, or a no-install DuckDB warmup.
Start with the warehouse shape, source feeds, dependency replay, or execution guides depending on what you need to answer next.
Trace the warehouse shape: dimensions, facts, derived tables, analytics views, and structural relationships.
Browse extractor families with stronger route cues, better grouping, and more basketball-native framing.
Track how tables and columns move through the pipeline with clearer ancestry, dependency, and handoff surfaces.
Hands-on workflows for analysts and operators, with stronger progression cues and basketball-informed framing.
Visualize ER structure, pipeline flow, and endpoint coverage like a coach’s board layered over warehouse detail.
Look up field meaning across raw, staging, and star layers with clearer naming and semantic framing.
Three clean entries depending on whether you are scouting the model, running the pipeline, or jumping straight into analysis.
Use the warehouse map, then drop straight into DuckDB recipes and comparison workflows.
Treat the pipeline like a gameday checklist with status, quality, and recovery guidance.
Warm up with DuckDB-WASM, self-contained NBA-flavored sample queries, and a no-install route into the docs.