DP-420: Design and implement cloud-native applications with Microsoft Azure Cosmos DB

• Knowledge of Microsoft Azure and ability to navigate the Azure portal (AZ-900 equivalent)
• Experience writing in an Azure-supported language at the intermediate level. (C#, JavaScript, Python, or Java)
• Ability to write code to connect and perform operations on a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar)

After completing this course, students will be able to:

• Create and configure Azure Cosmos DB SQL API account, database, and container
• Use the .NET SDK to manage resources and perform operations
• Perform queries of varying complexity
• Design a data modeling and partitioning strategy
• Optimize queries and indexes based on characteristics of an application
• Use the Azure Resource Manager to manage accounts and resources with CLI or JSON and Bicep templates

1. Introduction to Azure Cosmos DB for NoSQL

Learn the core concepts of Azure Cosmos DB for NoSQL, its capabilities, and how to determine whether it is suitable for your application requirements.

2. Try Azure Cosmos DB for NoSQL

Create a Cosmos DB account and work with databases and containers to gain practical experience using the platform.

3. Plan Resource Requirements

Explore configuration options for new Cosmos DB deployments and learn how to plan capacity, scalability, and resource requirements.

4. Configure Azure Cosmos DB for NoSQL

Learn how to configure throughput models and provisioning options to support application performance and cost requirements.

5. Move data into and out of Azure Cosmos DB for NoSQL

Use Azure services and open-source tools to migrate, import, and export data into and out of Cosmos DB environments.

6. Use the Azure Cosmos DB for NoSQL SDK

Learn about the available SDKs and how to use them to connect applications to Cosmos DB from .NET, Python, and JavaScript applications.

7. Configure the Azure Cosmos DB for NoSQL SDK

Configure SDK features including emulator support, parallel processing, logging, and other development and operational capabilities.

8. Implement Azure Cosmos DB for NoSQL point operations

Write code to create, read, update, and delete data within Cosmos DB using supported SDKs.

9. Perform cross-document transactional operations with the Azure Cosmos DB for NoSQL

Implement transactions that operate across multiple items while maintaining consistency within a logical unit of work.

10. Process bulk data in Azure Cosmos DB for NoSQL

Perform large-scale data operations efficiently using bulk processing features available through the SDK.

11. Query the Azure Cosmos DB for NoSQL

Create and execute SQL queries against Cosmos DB data using the platform's query language and SDK tools.

12. Author complex queries with the Azure Cosmos DB for NoSQL

Build advanced queries using subqueries and cross-product operations to retrieve and analyse data more effectively.

13. Build Generative AI applications with Azure Cosmos DB

Combine Azure Cosmos DB, vector search, Python, and Azure OpenAI Service to build Generative AI and retrieval-augmented generation (RAG) applications that deliver intelligent data-driven experience