About this course
Course Overview
This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.
Target Audience
Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB for NoSQL and its various SDKs.
Course Objectives
During this course you will learn:
- query execution,
- resource configuration,
- SDK operations,
- and design strategies for non-relational data modeling and data partitioning.
Course Content
MODULE 1 : Introduction to Azure Cosmos DB for NoSQL
- Evaluate whether Azure Cosmos DB for NoSQL is the right database for your application.
- Describe how the features of the Azure Cosmos DB for NoSQL are appropriate for modern applications.
MODULE 2 : Try Azure Cosmos DB for NoSQL
- Create a new Azure Cosmos DB for NoSQL account
- Create database, container, and item resources for an Azure Cosmos DB for NoSQL account
MODULE 3 : Plan Resource Requirements
- Evaluate various requirements of your application
MODULE 4 : Configure Azure Cosmos DB for NoSQL database and containers
- Compare the various service and throughput offerings for Azure Cosmos DB
- Migrate between standard and autoscale throughput
MODULE 5 : Use the Azure Cosmos DB for NoSQL SDK
- Integrate the Microsoft.Azure.Cosmos SDK library from NuGet
- Connect to an Azure Cosmos DB for NoSQL account using the SDK and .NET
MODULE 6 : Configure the Azure Cosmos DB for NoSQL SDK
- Configure the SDK for offline development
- Troubleshoot common connection errors
- Implement parallelism in the SDK
- Configure logging using the SDK
MODULE 7 : Implement Azure Cosmos DB for NoSQL point operations
- Perform CRUD operations using the SDK
- Configure TTL for a specific item
MODULE 8 : Query the Azure Cosmos DB for NoSQL
- Create and execute a SQL query
- Project query results
- Use built-in functions in a query
MODULE 9 : Author complex queries with the Azure Cosmos DB for NoSQL
- Implement a correlated subquery
- Create a cross-product query
MODULE 10 : Implement a non-relational data model
- Determine access patterns for data.
- Apply data model and partitioning strategies to support an efficient and scalable NoSQL database.
MODULE 11 : Design a data partitioning strategy
- 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
