Designing Data-Intensive Applications (DDIA) | Architecture | Oh My Learning

01 Reliability, Scalability, and Maintainability 16 min read mid drafted 02 Data Models: Relational, Document, and Graph 14 min read junior drafted 03 Query Languages for Data 13 min read junior drafted 04 Storage Engines: LSM-Trees and B-Trees 16 min read senior drafted 05 OLTP vs OLAP and Column-Oriented Storage 16 min read mid drafted 06 Encoding and Schema Evolution 17 min read mid drafted 07 Replication: Single-Leader 19 min read mid drafted 08 Replication: Multi-Leader and Leaderless 16 min read senior drafted 09 Replication Lag and Consistency Guarantees 16 min read senior drafted 10 Partitioning (Sharding) 17 min read senior drafted 11 Transactions 17 min read drafted 12 The Trouble with Distributed Systems 14 min read senior drafted 13 Consistency and Consensus 20 min read staff drafted 14 Batch Processing 17 min read senior drafted 15 Stream Processing 25 min read senior drafted 16 The Future of Data Systems 20 min read staff drafted