Understand RDBMS architecture: query processor, storage engine, transaction manager, and how they work together

Master storage engine internals: InnoDB (MySQL), heap storage (PostgreSQL), page-based storage (SQL Server), and their performance implications

Learn ACID implementation: how databases guarantee atomicity, consistency, isolation, and durability in production

Understand transaction processing: MVCC vs locking, isolation levels, and their impact on concurrency and performance

Master concurrency control: how databases handle thousands of concurrent users without data corruption or deadlocks

Learn database selection criteria: workload patterns (OLTP vs OLAP), scaling needs, cost, and ecosystem fit for real-world projects

Understand RDBMS architecture: query processor, storage engine, transaction manager, and how they work together

Master storage engine internals: InnoDB (MySQL), heap storage (PostgreSQL), page-based storage (SQL Server), and their performance implications

Learn ACID implementation: how databases guarantee atomicity, consistency, isolation, and durability in production

Understand transaction processing: MVCC vs locking, isolation levels, and their impact on concurrency and performance

Master concurrency control: how databases handle thousands of concurrent users without data corruption or deadlocks

Learn database selection criteria: workload patterns (OLTP vs OLAP), scaling needs, cost, and ecosystem fit for real-world projects