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Methods for distributing data across multiple nodes to optimize storage and retrieval performance.
Distinguishing note: Focuses on the mathematical and structural distribution of data rather than general database management.
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This project is a comprehensive educational resource focused on the principles, patterns, and trade-offs required to design scalable, reliable, and high-performance distributed systems. It provides a structured curriculum that covers the fundamental architectural strategies necessary for building modern software infrastructure, ranging from high-level system decomposition to low-level networking and data management. The repository distinguishes itself by offering deep dives into complex architectural patterns, such as microservices-based decomposition, event-driven communication, and command-
Data is partitioned across nodes using a circular hash space to minimize remapping when scaling the cluster size.