This article outlines the historical development of storage systems—from single-node and centralized architectures to distributed, cloud, and cloud‑native solutions—detailing storage types (block, file, object), data models, system components, and key design principles for modern storage infrastructures.
This article provides a detailed overview of the evolution of storage systems—from single‑node to cloud‑native—covering fundamental concepts, data classifications, storage types such as block, file, and object, and examples like Rook and MinIO, aimed at beginners seeking a macro understanding of storage architecture.
This article provides a detailed summary of database concepts including data models (relational, document, graph), storage engine architectures (page‑oriented B‑tree, log‑structured LSM), transaction mechanisms, isolation levels, distributed transaction protocols, partitioning strategies, indexing, consistency models, and consensus algorithms such as Lamport timestamps and Raft.
This article traces the fifty‑year history of relational databases, from early storage systems and the IDS and CODASYL network model to Codd’s relational model, the rise of SQL, its standards, competitors, and the principles that have kept SQL dominant in modern data management.
This article reviews the evolution of storage systems from single‑node to cloud‑native solutions, explains data classifications and models, and details the main storage types—block, file, and object—while summarizing key concepts of centralized, distributed, and cloud storage architectures.
