The engineering challenge here is the trade-off between Consistency and Availability, famously captured by the CAP theorem. The course explains how asynchronous replication improves performance but risks data loss if the master fails before syncing, whereas synchronous replication ensures data safety at the cost of write latency. This knowledge is vital in the era of cloud computing, where distributed databases are the norm.
The explanation of Write-Ahead Logging (WAL) finally made crash recovery intuitive. I can now explain why fsync matters and what happens when a database restarts uncleanly. fundamentals of database engineering udemy
: Understanding how multiple users can access and modify data simultaneously without corruption, using mechanisms like locks and isolation levels. The engineering challenge here is the trade-off between
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