Summary

Completed

You should now be familiar with Azure Cosmos DB for MongoDB modeling, sharding and indexing. Additionally, you should now also be familiar with using aggregation pipelines in Azure Cosmos DB for MongoDB. These subjects will allow you to design collections with better performance and lower the Request Unit costs of your queries.

Now that you've completed this module, you can:

• Understand how modeling and sharding affect the performance of your Azure Cosmos DB database.
• Learn about different index types we can use in an Azure Cosmos DB for MongoDB collection.
• Learn about the support for MongoDB aggregation pipelines in Azure Cosmos DB for MongoDB.

Learn more

For more information about the subjects discussed in this module, see:

• Manage indexing in Azure Cosmos DB for MongoDB
• Azure #CosmosDB extends support for MongoDB aggregation pipeline, unique indexes, and more
• Aggregation Pipeline
• Partitioning and horizontal scaling in Azure Cosmos DB
• Choose a partition key