Copying data to multiple servers to ensure high availability and improve read performance. 4. Database Engines (Storage Engines)
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. fundamentals of database engineering udemy
Ultimately, the course empowers the engineer to make informed decisions. When a query times out, the graduate of this course does not just add an index; they analyze the execution plan, consider the buffer pool size, and evaluate the locking strategy. In a world where data is the most valuable asset, understanding the engineering behind the database is not just a skill—it is a necessity. Copying data to multiple servers to ensure high