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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#Handling #Billions #Rows #SQL #Minutes #DuckDB