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 non-relational 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
- Module assessment
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
- Module assessment
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
- Module assessment
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
, Get started with Azure Cosmos DB for NoSQL
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
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
Plan and implement Azure Cosmos DB for NoSQL
Plan Resource Requirements
Evaluate various requirements of your application
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
Move data into and out of Azure Cosmos DB for NoSQL
Migrate data using Azure services
Migrate data using Spark or Kafka
Connect to Azure Cosmos DB for NoSQL with the SDK
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
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
Access and manage data with the Azure Cosmos DB for NoSQL SDKs
Implement Azure Cosmos DB for NoSQL point operations
Perform CRUD operations using the SDK
Configure TTL for a specific item
Perform cross-document transactional operations with the Azure Cosmos DB for NoSQL
Create a transactional batch and review results
Implement optimistic concurrency control for an operation
Process bulk data in Azure Cosmos DB for NoSQL
Use C# task asynchronous programming model and "bulk" support in the Azure Cosmos DB for NoSQL .NET SDK
Execute queries in Azure Cosmos DB for NoSQL
Query the Azure Cosmos DB for NoSQL
Create and execute a SQL query
Project query results
Use built-in functions in a query
Author complex queries with the Azure Cosmos DB for NoSQL
Implement a correlated subquery
Create a cross-product query
Define and implement an indexing strategy for Azure Cosmos DB for NoSQL
Define indexes in Azure Cosmos DB for NoSQL
Create and execute a SQL query
Project query results
Use built-in functions in a query
Customize indexes in Azure Cosmos DB for NoSQL
Implement a correlated subquery
Create a cross-product query
Integrate Azure Cosmos DB for NoSQL with Azure services
Consume an Azure Cosmos DB for NoSQL change feed using the SDK
Create a change feed processor in the .NET SDK
Author a delegate to handle a batch of changes in a client-side application
Handle events with Azure Functions and Azure Cosmos DB for NoSQL change feed
Create an Azure Function using the Azure Cosmos DB trigger
Search Azure Cosmos DB for NoSQL data with Azure Cognitive Search
Create an indexer to migrate data from Azure Cosmos DB for NoSQL to an Azure Cognitive Search index
Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL
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
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
Design and implement a replication strategy for Azure Cosmos DB for NoSQL
Configure replication and manage failovers in Azure Cosmos DB
Distribute data across global data centers
Configure automatic failover and perform a manual failover
Configure the Azure Cosmos DB for NoSQL .NET SDK to use a specific region
Use consistency models in Azure Cosmos DB for NoSQL
Configure default consistency level for an Azure Cosmos DB account
Change the consistency level on a per-request basis
Configure multi-region write in Azure Cosmos DB for NoSQL
Configure Azure Cosmos DB for multi-region write
Use the .NET SDK to select a write region for operations
Optimize query and operation performance in Azure Cosmos DB for NoSQL
Customize an indexing policy in Azure Cosmos DB for NoSQL
Customize an indexing policy for read-heavy workloads
Customize an indexing policy for write-heavy workloads
Measure index performance in Azure Cosmos DB for NoSQL
Tune an indexing policy for specific queries
Measure the cost for a query or operation
Implement integrated cache in Azure Cosmos DB for NoSQL
Implement the integrated cache
Configure integrated cache options
Monitor and troubleshoot an Azure Cosmos DB for NoSQL solution
Measure performance in Azure Cosmos DB for NoSQL
Understand how Azure Cosmos DB uses Azure Monitor to monitor server-side metrics
Measure Cosmos DB's throughput
Observe rate-limiting events
Query telemetry logs
Measure cross-partition storage distribution throughput
Monitor responses and events in Azure Cosmos DB for NoSQL
Review common response codes
Understand transit errors
Review rate-limiting errors
Configure Alerts
Audit Security
Implement backup and restore for Azure Cosmos DB for NoSQL
Understand the different backup and restore options Azure Cosmos DB provides
Evaluate periodic backups
Configure continuous backups
Do point in time recovery
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
Manage an Azure Cosmos DB for NoSQL solution using DevOps practices
Write management scripts for Azure Cosmos DB for NoSQL
View arguments, groups, and subgroups for a specific CLI command
Create Azure Cosmos DB accounts, databases, and containers using the CLI
Manage an indexing policy using the CLI
Configure database or container throughput using the CLI
Initiate failovers and manage failover regions using the CLI
Create resource template for Azure Cosmos DB for NoSQL
Identify the three most common resource types for Azure Cosmos DB for NoSQL accounts
Create and deploy a JSON Azure Resource Manager template for an Azure Cosmos DB for NoSQL account, database, or container
Create and deploy a Bicep template for an Azure Cosmos DB for NoSQL account, or container
Manage throughput and index policies using JSON or Bicep templates
Create server-side programming constructs in Azure Cosmos DB for NoSQL
Build multi-item transactions with the Azure Cosmos DB for NoSQL
Author stored procedure
Rollback stored procedure transactions
Expand query and transaction functionality in Azure Cosmos DB for NoSQL
Create user-defined functions
Create triggers
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