How does R support multi-layer caching architectures in enterprise ML systems?

R integrates with multi-layer caching using in-memory, distributed, and persistent cache systems.

Caching layers include local R memory cache, distributed Redis cache, and persistent storage caches in data lakes. Each layer serves different latency requirements. Cache invalidation is critical and often event-driven.