Design a Data Partitioning Strategy

Overview

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.

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
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