### 5.1 Performance Posture The dataset is small and well-suited to its current form: five monthly tables (January to May 2022) hold 446 rows in total, with the largest, *Indian Startups _ Funding Investors Data January 2022*, at 115 rows (26% of the total). At this scale, query speed and storage cost are not concerns, and the 100% completeness score means queries will not need extra handling for missing values. No scaling risk is visible in the evidence, though the month-per-table layout is worth noting as the data grows (see below). ### 5.2 Key Optimizations | Priority | Table | Recommendation | |---|---|---| | None | All five monthly funding tables | No optimization recommended at current data scale | No tuning is warranted today, so there is no performance gain to claim, and avoiding unnecessary changes keeps the platform simple and low-cost. The one structural point to watch is that no validated joins exist between the monthly tables. Any analysis spanning January to May 2022, such as total funding by quarter, currently means combining five separate tables. If more months are added, consolidating them into a single table with a month field would keep cross-period reporting fast and simple. This is a schema evolution choice for later, not a present need.