### 5.1 Performance Posture Performance health is strong. The dataset is a single table, `startup_funding`, with 3,044 rows, which is small enough that typical reporting and exploration queries should return effectively instantly on standard hardware. With one table and no validated joins, there are no cross-table bottlenecks, and the 100% overall and completeness scores show no data-quality overhead that would slow processing. No scaling concerns are visible at this volume. ### 5.2 Key Optimizations | Priority | Target | Recommendation | |---|---|---| | High | `startup_funding` | None recommended at current data scale | Speculative tuning would add maintenance cost without a measurable gain at 3,044 rows, so the right call today is to leave the storage layout as it is. Instead, revisit performance if the table grows substantially, for example through recurring funding-round refreshes or enrichment from additional sources. Any such growth should be paired with a baseline measurement of typical query response times, so future tuning decisions rest on observed behavior rather than assumption. Schema evolution, such as adding reference attributes to `startup_funding`, is a better use of effort than infrastructure changes. Section 4 covers enrichment opportunities in more detail.