This article is Part 2 of a series discussing Amazon DynamoDB data modeling for multi-tenant SaaS applications, focusing on key design considerations and best practices for creating an efficient, scalable database schema.

• Primary key selection is critical, with a composite primary key recommended for multi-entity access patterns
• Tenant isolation should be enforced through partition key design using tenant identifiers
• Key data modeling strategies include:
  • Shallow duplication to optimize write capacity
  • Using Global Secondary Indexes (GSIs) to support complex query patterns
  • Implementing transactions for atomic updates
  • Creating aggregations using DynamoDB Streams and AWS Lambda
• Performance optimization techniques include:
• Avoiding filter expressions
• Projecting only necessary attributes
• Designing high-cardinality partition keys

The goal is to create a flexible, efficient data model that supports multi-tenant requirements while maintaining performance and cost-effectiveness.