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.
Overview
Syllabus
- Welcome.
- Learning objectives​ and introduction.
- Denormalize data in your model​.
- Manage referential integrity by using change feed​.
- Combine multiple entities in the same container​.
- Denormalize aggregates in the same container​.
- Finalize the data model​.
- Exercise​: Exercise advanced modeling patterns​.
- Knowledge Check​.
- Summary​ and conclusion
.
Taught by
Microsoft Developer
Tags
Related Courses
-
Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL
-
Data Modeling and Partitioning Patterns in Azure Cosmos DB
-
Integrate Azure Cosmos DB for NoSQL with Azure services
-
Work with NoSQL data in Azure Cosmos DB
-
Microsoft Azure Developer: Develop Solutions with Cosmos DB Storage
-
Design and implement a replication strategy for Azure Cosmos DB for NoSQL
