Handling Billions of Rows with SQL in Minutes Using DuckDB


Analyze massive datasets directly in memory — faster than ever

Photo by Daniele Franchi on Unsplash

In this project, we will process massive datasets by loading them directly into memory, enabling faster analysis than traditional methods.

By leveraging in-memory processing, we can efficiently handle large volumes of data, extracting meaningful insights quickly and effectively.

While geospatial analysis is a central focus, the project’s primary objectives are:

  • Mastering large-scale data manipulation
  • Applying SQL-based analysis techniques
  • Exploring high-performance tools for in-memory processing

This project integrates these concepts using geospatial data as a real-world example.

By the end, you’ll understand how to process large-scale data in memory, equipping you with valuable skills for future projects.

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