The RAM myth

Commonly used straightforward algorithms for data sharding may perform suboptimally due to frequent cache misses. By sorting elements by their group before processing, one can significantly reduce cache misses, improving performance even with large in-memory data. Radix sort and other cache-aware algorithms offer further optimizations. These techniques are beneficial for handling big data where efficient memory usage is critical.