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1
- Welcome
2
- Learning objectives​ and introduction
3
- Denormalize data in your model​
4
- 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.

Design a Data Partitioning Strategy

Microsoft
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