What I learned from the book Designing Data-Intensive Applications

A comprehensive review of Martin Kleppmann's "Designing Data-Intensive Applications" after two complete readings. The book provides foundational knowledge about distributed systems, covering reliability, scalability, and maintainability principles. Key topics include data models (relational vs document vs graph), storage engines (B-trees vs LSM-trees), replication strategies, partitioning, transactions, and stream processing. The review highlights the book's strengths in explaining trade-offs and connecting theory to practice, while noting limitations like outdated examples and dense theoretical content. Recommended for experienced engineers working with data-intensive systems.