NoSQL Data Modeling Best Practices for Performance

NoSQL data modeling is crucial for optimizing database performance, particularly in performance-sensitive workloads, and involves avoiding common pitfalls such as misusing collections, creating large partitions, and generating hot spots. Collections should be used cautiously, as they are best for storing small amounts of data, and mismanagement can lead to performance issues. Large partitions, which occur when data grows too big, can cause latency and resource utilization problems, and can be managed by rethinking the primary key and employing techniques like bucketing. Hot spots arise from imbalanced data access patterns, often exacerbated by large partitions, and can be mitigated by adjusting data modeling, refining application access patterns, and implementing rate limits. Understanding and applying these strategies can prevent performance degradation and ensure efficient NoSQL database operations.