Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL

In this module, you will:

• Determine access patterns for data.
• Apply data model and partitioning strategies to support an efficient and scalable NoSQL database.

At the completing this module we will learn:

• Manage relationships between data entities by using advanced modeling and partitioning strategies.
• Maintain the referential integrity of your data by using change feed.
• Implement pre-aggregating and denormalizing data strategies to improve data-model performance and scaling.
• Optimizing storage and compute by mixing entity types in a single container

• Introduction
• What's the difference between NoSQL and relational databases?
• Identify access patterns for your app
• When to embed or reference data
• Exercise: Measure performance for customer entities
• Choose a partition key
• Model small lookup entities
• Knowledge check
• Summary

• 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 advanced modeling patterns
• Knowledge check
• Summary