aws-dynamodb-best-practices

DynamoDB schema design requires selecting partition keys with high cardinality to distribute traffic evenly across partitions. This prevents hot spots and ensures scalable performance for high-volume read and write workloads.

NoSQL data modeling in DynamoDB involves defining access patterns first, then using sort keys and secondary indexes to retrieve related data in a single query. This supports one-to-many and many-to-many relationships without complex joins.

Use global secondary indexes when you need to query on alternative partition keys, and local secondary indexes when querying different sort keys on the same partition. Both optimize query patterns but differ in their key structure flexibility.

DynamoDB handles concurrency control using optimistic locking with conditional writes. This ensures data integrity during simultaneous updates by verifying item state before applying changes, preventing accidental overwrites in distributed applications.

Yes, you can use DynamoDB global tables to replicate data across multiple AWS regions for multi-region scaling. This provides low-latency local access and high availability for globally distributed NoSQL applications.

For large items, DynamoDB best practices suggest splitting data across multiple items or using Amazon S3. Time-series data modeling uses separate tables for different time periods, allowing efficient archiving and cost management.