Engineer Builds ETL Pipeline to Convert Apple Health XML into DuckDB Database

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Apple Health data exports can produce multi-gigabyte XML files that are difficult to parse using standard tools like Excel or pandas. A data engineer has detailed a method to transform this raw export into a queryable DuckDB analytical database using Python, Apache Arrow, and lxml. The pipeline uses iterative XML parsing to process data in batches, avoiding out-of-memory errors that arise when loading large files entirely into RAM. Apache Arrow tables serve as an intermediate format, enabling efficient, zero-copy data transfer into DuckDB. The resulting database can then be queried with SQL and connected to visualization tools such as a Streamlit dashboard for personal health insights.

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