Data is only useful if it can evolve. DML provides the tools to keep your information current and relevant.
1The Lifecycle of Data
Information enters the system via INSERT, is kept accurate via UPDATE, and is eventually archived or removed via DELETE. Understanding this flow is essential for backend architecture.
2Safe Operations
Many modern database clients have a 'Safe Mode' that prevents you from running UPDATE or DELETE without a WHERE clause. This is a lifesaver that prevents catastrophic data loss.
3Performance of Mutations
Adding or changing data is slower than reading it because the database has to update its indexes and ensure data integrity. Batching multiple INSERTs into a single command is a common optimization technique.
