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# ADR: Why Polars?

**Context**: We need a library to perform data transformations (ETL).

**Options Considered**: Pandas, PySpark, Polars.

**Decision**: Polars.

**Rationale**:
- PySpark is overkill (too much overhead) for single-node processing.
- Pandas is slow and memory-inefficient for large datasets.
- Polars offers blazing fast multi-threaded execution and a clean, expressive API.

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