📦 Complex Data Management in C++

This project explores fundamental techniques in complex data management, implemented in modern C++.
It includes components for:

• Relational algebra operations
• Keyword-based containment and relevance queries using inverted indexes
• Spatial indexing with bulk-loaded R-Trees

Each module is fully self-contained in its own folder, with dedicated documentation and code.

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📁 Repository Structure

Folder	Description
relational-operators/	Implements classic relational operators (join, union, intersection, etc.) on TSV data
query-processing/	Contains containment and relevance-based query processing on transactional datasets
spatial-data/	Implements spatial indexing using bulk-loaded R-Trees

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🛠️ Technologies

• Language: C++20
• Build: Manual (via g++)
• Input: .tsv and .txt datasets

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👤 Author

GitHub: xrddev

📝 License

Released under the MIT License. Originally built as part of a university project.