Part 143: Denormalization Strategies for Read Performance

Why and when principal database architects intentionally break normalization rules.

1. When to Denormalize

• High-volume read workloads: When joining 10 tables on every pageview kills latency.
• Analytics & Data Warehousing (Star Schemas): Fact tables pre-joined with dimension tables.
• Pre-computed counters: Caching comments_count directly on a posts table.

Key Takeaways

• Normalize for data integrity; denormalize selectively for extreme read throughput.

In Part 144, we explore Table Partitioning: Range, List & Hash!