
The bible of modern data engineering that transformed how tech giants build systems. Complete with Tolkien-like maps and endorsed by Databricks founder Matei Zaharia, this guide reveals why the principles behind billion-user platforms haven't changed in decades.
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Ever wondered how Google processes billions of search queries daily while your laptop struggles with a modest spreadsheet? The secret lies in data-intensive applications-systems designed to prioritize data over computation. These sophisticated architectures form the backbone of our digital economy, enabling everything from instant movie recommendations to real-time fraud detection. The challenge isn't just handling massive volumes of information but doing so reliably, efficiently, and in ways that remain maintainable as systems evolve. What makes this particularly fascinating is that the principles behind these systems affect virtually every digital interaction in our daily lives, from checking social media to ordering groceries online.
Desglosa las ideas clave de Designing Data-Intensive Applications en puntos fáciles de entender para comprender cómo los equipos innovadores crean, colaboran y crecen.
Destila Designing Data-Intensive Applications en pistas de memoria rápidas que resaltan los principios clave de franqueza, trabajo en equipo y resiliencia creativa.

Experimenta Designing Data-Intensive Applications a través de narraciones vívidas que convierten las lecciones de innovación en momentos que recordarás y aplicarás.
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Creado por exalumnos de la Universidad de Columbia en San Francisco
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Creado por exalumnos de la Universidad de Columbia en San Francisco

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