Ditch the Bloat: Building a High-Performance Health Data Lake with DuckDB & Parq

<p>If you've ever tried to export your Apple Health data, you've likely stared in horror at a massive, multi-gigabyte <code>export.xml</code> file. It’s a nested nightmare that

<p>We’ve all been there. You click "Export Health Data" on your iPhone, wait ten minutes, and receive a massive, bloated <code>export.xml</code> file. If you've tracked your

<p>We live in an age of "The Quantified Self." Between our Apple Watches tracking heart rate variability, Strava recording every weekend century ride, and MyFitnessPal logging

<p>As organizations become increasingly data-driven, the scale of their pipelines has grown from modest daily batches to continuous, high-volume streams. What appears to be

<p>In an era where privacy is the ultimate luxury, our most sensitive data—heart rates, sleep cycles, and activity levels—is often shipped off to black-box cloud servers for

<p>Every couple of hours, a cron job on a cheap LiteSpeed shared host wakes up, hits the YouTube Data API for eight regions — US, GB, DE, FR, IN, BR, AU, CA — and writes