Citywide smart-meter history no longer fits or processes in time on one powerful server. What is the core rationale for moving to cluster computing?
Select an answer to reveal the explanation.
Short Explanation
When one beefy box runs out of room and clock, polishing that single machine stops helping. Line up many workers that share the load instead.
Full Explanation
Cluster computing addresses Big Data by distributing storage and computation across commodity nodes. Municipal smart-meter histories often exceed single-server disk, memory, or overnight processing windows. Scale-out parallelism is the foundational rationale for Hadoop-style platforms—not aesthetics or abandoning data quality discipline.