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.
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Course Outline
1. Introduction to Azure Cosmos DB for NoSQL
• What is Azure Cosmos DB for NoSQL
• How does Azure Cosmos DB for NoSQL work
• When should you use Azure Cosmos DB for NoSQL
2. Try Azure Cosmos DB for NoSQL
• Explore resources
• Review basic operations
3. Plan Resource Requirements
• Understand throughput
• Evaluate throughput requirements
• Evaluate data storage requirements
• Time-to-live (TTL)
• Plan for data retention with time-to-live (TTL)
4. Configure Azure Cosmos DB for NoSQL
• Serverless
• Compare serverless vs. provisioned throughput
• Autoscale throughput
• Compare autoscale vs. standard (manual) throughput
• Migrate between standard (manual) and autoscale throughput
5. Move data into and out of Azure Cosmos DB for NoSQL
• Move data by using Azure Data Factory
• Move data by using a Kafka connector
• Move data by using Stream Analytics
• Move data by using the Azure Cosmos DB Spark connector
6. Use the Azure Cosmos DB for NoSQL SDK
• Understand the SDK
• Import from package manager
• Connect to an online account
• Implement client singleton
• Configure connectivity mode
7. Configure the Azure Cosmos DB for NoSQL SDK
• Enable offline development
• Handle connection errors
• Implement threading and parallelism
• Configure logging
8. Implement Azure Cosmos DB for NoSQL point operations
• Understand point operations
• Create documents
• Read a document
• Update documents
• Configure time-to-live (TTL) value for a specific document
• Delete documents
9. Perform cross-document transactional operations with the Azure Cosmos DB for NoSQL
• Create a transactional batch with the SDK
• Review batch operation results with the SDK
• Implement optimistic concurrency control
10. Process bulk data in Azure Cosmos DB for NoSQL
• Create bulk operations with the SDK
• Review bulk operation caveats
• Implement bulk best practices
11. Query the Azure Cosmos DB for NoSQL
• Understand NoSQL query language
• Create queries with NoSQL
• Project query results
• Implement type-checking in queries
• Use built-in functions
• Execute queries in the SDK
12. Author complex queries with the Azure Cosmos DB for NoSQL
• Create cross-product queries
• Implement correlated subqueries
• Implement variables in queries
• Paginate query results
13. Build Generative AI applications with Azure Cosmos DB
• Configure the Vector Search and storage feature of Azure Cosmos DB NoSQL
• Generate embeddings using Azure OpenAI Service
• Build Generative AI applications with Azure Cosmos DB NoSQL and Python
• Perform vector searches using Azure Cosmos DB for NoSQL from a Generative AI application
• Integrate LangChain orchestration to improve efficiency and code maintainability in a Python Generative AI application
14. Define indexes in Azure Cosmos DB for NoSQL
• Understand indexes
• Understand indexing policies
• Review indexing policy strategies
15. Customize indexes in Azure Cosmos DB for NoSQL
• Customize the indexing policy
• Evaluate composite indexes
16. Consume an Azure Cosmos DB for NoSQL change feed using the SDK
• Understand change feed features in the SDK
• Implement a delegate for the change feed processor
• Implement the change feed processor
• Implement the change feed estimator
17. Handle events with Azure Functions and Azure Cosmos DB for NoSQL change feed
• Understand Azure Function bindings for Azure Cosmos DB for NoSQL
• Configure function bindings
• Develop function
18. Search Azure Cosmos DB for NoSQL data with Azure Cognitive Search
• Create an indexer for data in Azure Cosmos DB for NoSQL
• Implement a change detection policy
• Manage a data deletion detection policy
19. Implement a data model
• What’s the difference between NoSQL and relational databases?
• Identify access patterns for your app
• When to embed or reference data
• Choose a partition key
• Model small lookup entities
20. Design a data partitioning strategy
• 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
21. Configure replication and manage failovers in Azure Cosmos DB
• Understand replication
• Distribute data across regions
• Evaluate the cost of distributing data globally
• Define automatic failover policies
• Perform manual failovers
• Configure SDK region
22. Use consistency models in Azure Cosmos DB for NoSQL
• Understand consistency models
• Configure default consistency model in the portal
• Change consistency model with the SDK
• Use session tokens
23. Configure multi-region write in Azure Cosmos DB for NoSQL
• Understand multi-region write
• Configure multi-region support in the SDK
• Understand conflict resolution policies
• Create custom conflict resolution policy
24. Customize an indexing policy in Azure Cosmos DB for NoSQL
• Index usage
• Review read-heavy index patterns
• Review write-heavy index patterns
25. Measure index performance in Azure Cosmos DB for NoSQL
• Enable indexing metrics
• Analyze indexing metrics results
• Measure query cost
• Measure point operation cost
26. Implement integrated cache in Azure Cosmos DB for NoSQL
• Review workloads that benefit from the cache
• Enable integrated cache
• Configure cache staleness
27. Measure performance in Azure Cosmos DB for NoSQL
• Understand Azure Monitor
• Measure throughput
• Observe rate-limiting events
• Query logs
28. Monitor responses and events in Azure Cosmos DB for NoSQL
• Review common response codes
• Understand transient errors
• Review rate-limiting errors
• Configure Alerts
• Audit security
29. Implement backup and restore for Azure Cosmos DB for NoSQL
• Evaluate periodic backup
• Configure continuous backup and recovery
• Perform a point-in-time recovery
30. Implement security in Azure Cosmos DB for NoSQL
• Implement network-level access control
• Review data encryption options
• Use role-based access control (RBAC)
• Access account resources using Microsoft Entra ID
• Understand Always Encrypted
31. Write management scripts for Azure Cosmos DB for NoSQL
• Create resources
• Manage index policies
• Configure database or container-provisioned throughput
• Migrate between standard and autoscale throughput
• Change region failover priority
• Initiate failovers
32. Create resource template for Azure Cosmos DB for NoSQL
• Understand Azure Resource Manager resources
• Author Azure Resource Manager templates
• Configure database or container resources
• Configure throughput with an Azure Resource Manager template
• Manage index policies through Azure Resource Manager templates
33. Build multi-item transactions with the Azure Cosmos DB for NoSQL
• Understand transactions in the context of JavaScript SDK
• Author Stored procedures
• Rollback transactions
• Create stored procedures with the JavaScript SDK
34. Expand query and transaction functionality in Azure Cosmos DB for NoSQL
• Create user-defined functions
• Create user-defined functions with the SDK
• Add triggers to an operation
• Create and use triggers with the SDK
Course Details
• Familiarity with Azure and the Azure portal.
• Experience of building cloud applications with Microsoft C# or a similar programming language.
Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB for NoSQL and its various SDKs. They are familiar with C# programming. They also have experience writing code that interacts with a SQL or NoSQL database platform.
For online (live) format
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