dynamodb-design

Single table design in DynamoDB consolidates multiple entity types into one table to optimize query performance. Use this NoSQL data modeling technique when you need diverse access patterns and want to minimize cross-table joins.

Design DynamoDB partition keys to distribute traffic evenly and sort keys to support range queries. Following these key design patterns prevents hot partitions and ensures efficient data retrieval across your NoSQL data models.

You configure DynamoDB Global Secondary Indexes (GSIs) by writing Terraform HCL to define index keys and projections. This enables diverse query patterns on your table without duplicating data into separate tables.

Choose On-Demand capacity for unpredictable workloads and Provisioned capacity with auto-scaling for steady traffic. Proper capacity management ensures your DynamoDB tables remain cost-effective while maintaining performance.

DynamoDB Streams capture item-level modifications in your table in near real-time. Utilize these streams for event-driven architectures to trigger downstream serverless processing pipelines automatically.

Yes, DynamoDB transactions ensure data consistency across multiple items. Apply transactional operations when you need atomic writes or reads across various entities within your NoSQL data modeling workflows.