Data Storage Strategies

Select appropriate database types (SQL, NoSQL, NewSQL) based on data model, query patterns, and consistency requirements

Design data partitioning strategies including horizontal sharding and vertical partitioning

Apply replication patterns (leader-follower, leader-leader, leaderless) for availability and read scalability

Choose between normalized and denormalized data models based on access patterns

Design denormalization strategies to optimize read-heavy workloads

Design data retention and archival strategies for large-scale systems