Dataset Ae's 4.73 MB footprint is well-suited for single-node deployment, with no immediate pressure to distribute. The 3,972 bytes-per-row density suggests moderate denormalization or wide column counts; applying standard compression (gzip or Parquet) could reduce storage by 40–60%, yielding sub-2 MB footprint and improving query performance on resource-constrained environments. At 1,191 rows, the dataset remains far below typical scale thresholds (100M+ rows for distributed systems); infrastructure changes would only become necessary if row count grows 100x or storage exceeds 500 MB.