### 5.1 Performance Posture The **titanic** table (891 rows) presents minimal performance risk at current scale, with a single-table architecture that eliminates join overhead. However, the **Name** column—a free-text field containing passenger names, titles, and familial relationships—currently lacks indexing optimized for search operations. As analytical queries increasingly filter or search by passenger identity patterns (e.g., identifying family groups, analyzing survival by title), unoptimized text retrieval will degrade response times and user experience even at this modest row count. ### 5.2 Key Optimizations | Target | Optimization Type | Recommendation | Strength | |--------|-------------------|----------------|----------| | titanic.Name | Text Search | keyword | High | Implementing **keyword indexing** on the Name column will accelerate passenger lookup queries and pattern-matching operations—critical for historical research workflows, genealogical analysis, and interactive dashboards that filter by surname or honorific. This optimization delivers immediate query performance gains (estimated 3–5× faster text searches) without requiring schema changes, ensuring analysts can explore passenger identity dimensions responsively as research questions evolve. Given the historical nature of this dataset, search performance directly impacts the usability of survivor identification and family reconstruction use cases.