Database Patterns Guide

Mastering Database Patterns

Learn optimal design strategies, anti-patterns to avoid, and modern SQL/NoSQL pattern implementations.

Use read replicas to distribute load while maintaining single write point. Ideal for high-read workloads.

Partition data across multiple nodes using hash or range sharding. Essential for horizontal scaling.

Separate read and write operations for better scalability and performance optimization.

Use flexible schema design for sparse data, but understand the complex querying tradeoffs.

Learn when to create covering indexes and strategies for index union optimization.

Understand when to duplicate data for performance gains in document stores.

Pre-join data across multiple stores to enable fast queries at the cost of write complexity.

Store change history in event streams for auditability and replay capabilities.

Implement distributed transactions using choreography for microservices architectures.