Scenario: A database administrator is designing a new database schema for a high-traffic application. Explain how partitioning tables can aid in optimizing performance and managing data efficiently in this scenario.

Partitioning tables in a high-traffic application can enhance performance by distributing data across multiple disks or servers, allowing for parallelism in query processing. This reduces the load on individual disks and servers, improving overall throughput. Additionally, partitioning enables easier data management and maintenance tasks, as data is segregated into smaller, more manageable partitions. This aids in tasks such as backups, restores, and index maintenance. Moreover, partitioning can increase data availability and fault tolerance by isolating data into separate partitions, reducing the impact of failures. It also facilitates scalability, as data can be added or removed from partitions as needed, and enables efficient data archiving by allowing the management of older data in separate partitions.