This dataset delivers a complete, single-table record of 132 Olympic table tennis medal events spanning 1988 to 2024, with zero missing values and no structural dependencies to break. The data is analytically pristine for trend analysis within its narrow scope—tracking medal distribution by nation, gender, event type, and Games year—but it exists in isolation. The headline risk is architectural, not statistical: **no foreign key relationships** mean referential integrity scores 100% only because there are no constraints to test. Any attempt to correlate these results with athlete biographies, match scores, or broader Olympic datasets will require manual linkage outside this structure. The dataset excels at answering "who won what, when" questions across nine Olympic cycles, making it ideal for medal-count rankings, gender-parity tracking, and dominance-shift narratives in table tennis. It cannot, however, explain *why* outcomes occurred, profile individual athletes beyond their medal moment, or connect performance to training systems, funding, or geopolitical factors. Decision-makers should treat this as a high-fidelity scoreboard—authoritative for historical outcomes, silent on causation—and plan integration work if strategic questions demand context beyond the podium.