Designing an efficient and scalable data model is crucial when working with Amazon DynamoDB. This folder contains a collection of schema design patterns and best practices that you can leverage in your DynamoDB table implementations.
Delve into the various schema design approaches and discover how they can help you optimize your DynamoDB data models:
Global Secondary Indexes (GSI): Learn how to leverage GSIs to enable efficient queries and data access patterns.
Composite Primary Keys: Understand how to structure your primary keys to support complex query requirements.
Time Series Data: Explore strategies for modeling time-series data in DynamoDB, such as using Time to Live (TTL) and Time Series Tables.
One-to-Many Relationships: Discover techniques for modeling one-to-many relationships in your DynamoDB tables.
Many-to-Many Relationships: Investigate approaches for handling many-to-many relationships using DynamoDB's flexible data model.
Hierarchical Data: Learn how to represent hierarchical data structures, such as organizational charts or nested categories, in your DynamoDB tables.
Each design pattern is accompanied by sample code, performance considerations, and real-world use cases to help you make informed decisions for your DynamoDB applications.
The schema samples can be opened with NoSQL Workbench: