What is a consequence of using parallelism to eliminate a table from the database?

The use of parallelism in database management significantly optimizes data processing and retrieval operations by executing multiple tasks simultaneously. One critical consequence of implementing parallelism to eliminate a table from the database is the potential for smaller database backups.

When a table is removed from the database using parallel techniques, it frees up storage space and reduces the overall size of the database. Consequently, this leads to smaller backup sizes because the backup process only needs to contain the remaining active data rather than the eliminated table along with its associated records. Smaller backups not only save storage space but also enhance backup and restore time, making data management more efficient.

The other options illustrate various benefits of different database operations or design enhancements but don’t directly tie in the specific consequences of parallelism applied to table elimination in the context of database size and management.