### 5.1 Performance Posture The **Dummy Data** table (8 rows) presents minimal performance risk at current scale, with a 100% completeness score indicating no null-handling overhead. However, the presence of a **Name** column flagged for text search optimization suggests that even at this small size, query patterns may involve substring matching or filtering on unstructured text—operations that degrade rapidly as datasets grow. With no foreign keys or joins to optimize and 100% of data concentrated in a single table, infrastructure readiness hinges on preparing this schema for volume expansion and ensuring text-heavy columns are indexed appropriately before the row count reaches query-latency thresholds. ### 5.2 Key Optimizations | Target | Optimization Type | Recommendation | Strength | |--------|-------------------|----------------|----------| | Dummy Data.Name | Text Search | keyword | High | Implementing a **keyword index** on the **Name** column will accelerate filtering, sorting, and exact-match lookups—critical if this field drives user-facing search or reporting dashboards. At 8 rows the performance gain is negligible, but establishing this pattern now prevents costly re-indexing when the table scales to thousands or millions of records. For business stakeholders, this translates to consistently fast search response times and lower compute costs as query volume increases, protecting user experience during growth phases.