- Manage referential integrity by using change feed
5
- Combine multiple entities in the same container
6
- Denormalize aggregates in the same container
7
- Finalize the data model
8
- Exercise: Exercise advanced modeling patterns
9
- Knowledge Check
10
- Summary and conclusion
Description:
Explore advanced data partitioning strategies in this comprehensive 90-minute Learn Live session. Discover techniques for managing relationships between data entities, improving data-model performance through pre-aggregation and denormalization, and maintaining referential integrity using change-feed. Learn to optimize storage and compute by combining entity types in a single container, and practice implementing these concepts through hands-on exercises. Gain valuable insights from industry experts as they guide you through denormalizing data, managing referential integrity, and finalizing data models for enhanced performance and scalability in Azure Cosmos DB.