10.Beyond development, I have hands-on experience with database optimization (SQL Server, PostgreSQL, MySQL), middleware (Redis, RabbitMQ, Elasticsearch), and DevOps tools to enhance system performance.
12.Either way, we don't care, because it's the next SQL command we're interested in: " drop table users" – a command that we injected by manipulating the username field.
13.That value is copied into the SQL query by the server, based on what the user typed in, so the actual command that's sent to the SQL database would look something like this, where username equals philbin.
14.SQL is a good choice for Twitter's user data because it allows for efficient querying on structured user attributes, it ensures data integrity with ACID transactions, and it can handle complex joins and aggregations for user analytics.