Part 3 of a DynamoDB crash course covering key data modeling design patterns. Topics include composite keys (string concatenation to enable access patterns), single table design (grouping all entities in one table with key prefixes), GSI overloading (reusing indexes for different entity types), partition key sharding (spreading load using random or hash-based suffixes), sparse indexes (excluding items from indexes by omitting key attributes), base table indexes (maintaining strongly consistent many-to-one indexes within the table itself), and optimistic locking (using conditional writes with version attributes for concurrency control). Each pattern includes concrete examples with a music catalog schema and discusses trade-offs.
Table of contents
Composite keys #Single table design #GSI overloading #Partition key sharding #Sparse indexes #Base table indexes #Optimistic locking #157 Impressions