Performance: indexing, partitioning, query rewrite, statistics. Temporal tables: system-versioned tables for point-in-time queries. Use for auditing, history. Example: SELECT * FROM employee FOR SYSTEM_TIME AS OF '2024-01-01'. Combines current and historical in one query. **Why it matters**: Design choices compound at scale—wrong approach can cause 100× overhead. **Scalability trade-offs**: Profile before optimizing; validate on sample then full....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Zen Data Shastra. The answer also includes follow-up discussion points that interviewers commonly explore.
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