🗂️ Schema Design

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.

🔍 Explore the Patterns

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.

Dive into the schema design patterns »

• Building Blocks >> Write Sharding

Schema Samples:

The schema samples can be opened with NoSQL Workbench:

• Chat System
• Complain Management
• Connected Vehicles
• Gaming Player Profiles
• Reocurring Payments
• Session Management
• Social Network