data engineering

  • BlogIllustration showing how Google Maps predicts traffic and ETAs using AI, graph neural networks, real-time traffic data, and navigation algorithms.

    How Google Maps Predicts Traffic and ETAs: The Technology Behind Real-Time Navigation

    Calculating a route across millions of concurrent users is a complex optimization challenge. Moving past simple real-time data aggregation, modern navigation systems rely on distributed infrastructure to transform billions of chaotic traffic observations into reliable predictive models. This analysis is based on publicly available research from Google, DeepMind, transportation-network studies, and distributed systems architecture principles. Because the exact production implementation…

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  • BlogA comprehensive architectural diagram mapping out a real-time media recommendation system, showcasing the interaction data flow between frontend client apps, data ingestion feature pipelines, real-time streaming engines, and online inference loops.

    TikTok Architecture Explained: How the App Figures Out What You Want to Watch

    When a video goes viral on TikTok, millions of people look at it at the exact same moment. Most people think the hard part for TikTok is sending the video file to everyone’s phones. But it isn’t. The video files are stored on servers all over the world, ready to play instantly. The real magic-and the hardest part-is the hidden…

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