Redis Enterprise allows users to work with real-time data at any scale and location. Optimizing Redis performance involves identifying and addressing issues such as high CPU load, slow queries, and excessive connection usage. By reviewing the SLOWLOG and INFO ALL command output, users can pinpoint bottlenecks in their Redis setup. Strategies for optimization include configuring persistent connections, replacing expensive commands with variadic counterparts, using the SCAN command instead of KEYS, pipelining operations, and leveraging Lua scripting to reduce client-server round trips. By implementing these techniques, users can significantly lower latency and improve overall performance.