This 4.99 MB dataset is well-suited for single-node deployment; distributed infrastructure would introduce unnecessary operational overhead for a footprint this compact. At 587.4 bytes per row across 8,500 records, the data exhibits moderate density with meaningful compression potential—applying standard columnar or dictionary encoding could reduce storage by 30–50%, though gains are marginal given the already-small absolute size. The dataset remains far below typical scale thresholds (which emerge around 10–100 GB for analytics workloads); no infrastructure migration is warranted unless row count or feature cardinality expands significantly.