Enterprises have spent years and considerable fortunes building data lakehouses, training models, and unifying customer records inside platforms like Databricks. The harder problem, it turns out, is ...
. ├── .env # Your credentials (DO NOT COMMIT) ├── pyproject.toml # uv dependencies ├── requirements.txt # pip fallback ├── databricks_eda/ │ ├── databricks_query.py # Query client (supports SELECT, ...
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