scripts/split_dataset.py + generate_errors.py | v data/raw_data ── Airflow: soccer_ingestion (every 1 min) GX validation → 5-category error stats → Postgres ...
Collect hot-ranking data from multiple sources and present it through a web UI. After building the Docker image, you can run the backend container like this: docker ...
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