At 4.73 MB with 132 rows, this dataset exhibits high row density (35,840 bytes/row), indicating rich feature depth rather than volume. Single-node deployment is appropriate—the footprint poses no scaling pressure and distributed infrastructure would introduce unnecessary operational overhead. Compression opportunity exists given the row size; applying standard columnar or dictionary encoding could reduce storage by 40–60% without performance trade-off, particularly valuable if this dataset grows to include additional Olympic cycles or granular event-level records. Current scale is well below any infrastructure threshold; recommend revisiting deployment strategy only if row count exceeds 10,000 or total size surpasses 500 MB.