dynamodb

Single-table design in DynamoDB is a data modeling approach that stores multiple entity types, such as users, orders, and products, in one table to enable fast, complex multi-entity queries without joins. You need it for scalable NoSQL workloads requiring high-velocity reads and writes.

To model complex relationships for a DynamoDB NoSQL workload, you apply single-table design patterns using primary keys and secondary indexes. This approach structures entities like users and orders together to support diverse query needs and fast lookups across flexible schemas.

Yes, DynamoDB single-table design works effectively for e-commerce and session data workloads. It handles high-velocity reads and writes with predictable performance, allowing you to model users, orders, products, and reviews in a single table for fast multi-entity queries.

The best way to configure DynamoDB capacity modes is choosing between on-demand and provisioned modes based on traffic predictability. On-demand handles unpredictable workloads, while provisioned offers performance controls for steady traffic, ensuring optimal read and write throughput for your NoSQL queries.

You use global and local secondary indexes in DynamoDB to support diverse query needs beyond the primary key. Global secondary indexes allow querying alternate attributes, while local secondary indexes provide filtering on the same partition key, enabling flexible data access patterns.

You should not use single-table design in DynamoDB if your application requires highly normalized data or complex multi-table joins. This NoSQL approach demands a deep understanding of access patterns and indexing, making it overly complex for simple key-value lookups or flexible schemas.