This project is a curated collection of academic papers, books, and technical resources designed for studying the architecture and implementation of database management systems. It serves as a comprehensive educational guide for engineers and researchers looking to understand the fundamental principles behind modern data storage and retrieval.
The repository distinguishes itself by providing structured learning paths across critical database domains, including the design of persistent storage engines, the mechanics of query optimization, and the complexities of distributed transaction management. It covers the theoretical and practical aspects of system internals, such as buffer management, disk input and output, and the consensus algorithms required to maintain consistency across distributed nodes.
Beyond these core areas, the collection offers resources on concurrency control protocols, performance benchmarking, and advanced execution models. The materials are organized to support the study of how systems manage data integrity, optimize query planning, and utilize high-performance processing techniques.
