Relational Database Internals: Storage, Indexing, and Transactions

Relational databases power modern applications, yet the internal mechanics of how data is stored, indexed, and retrieved often remain a black box. Understanding these core architectural principles allows developers and database administrators to write faster queries and design more resilient systems. This comprehensive text-based course guides you through the foundational concepts of relational database management system internals. You will start with key terminology and basic architecture, learning how data sits on disk, how memory buffers work, and how transactions preserve consistency. What you'll learn: - Learn essential database concepts, page structures, and heap file layouts. - Understand B-Tree indexing strategies and how index scans minimize disk reads. - Master transaction management, ACID properties, and isolation levels. - Explore Multi-Version Concurrency Control (MVCC) and lock-based concurrency mechanisms. - Analyze query execution pipelines, logical planning, and cost-based optimization basics. - Apply write-ahead logging (WAL) concepts for durability and crash recovery. The reading material follows a logical sequence, moving from physical storage organization to high-level query optimization through detailed text explanations and practical architectural walkthroughs. This course is designed for beginner software engineers, database enthusiasts, and technical leads with no prior background in database kernel development. Start reading today to unlock a deeper technical understanding of database engines.