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Azure Cosmos DB Developer Specialty

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Azure Cosmos DB Developer Specialty

Azure

Duration
45 Hours

Course Description

         The Azure Cosmos DB Developer Specialty course equips developers with the skills to build and manage cloud-native applications using Azure Cosmos DB, focusing on data modeling, efficient querying, and integrating with other Azure services. Participants will learn to design, implement, and monitor solutions that meet performance, security, and availability requirements. 

Course Outline For Azure Cosmos DB Developer Specialty

1. Get started with Azure Cosmos DB

  • Introduction to Azure Cosmos DB, its core features, and benefits.
  • Understanding the different APIs available (SQL API, MongoDB API, Cassandra API, Gremlin API, Table API) and how to choose the appropriate one for your application.
  • Creating and configuring Azure Cosmos DB accounts, databases, and containers using the Azure portal, Azure CLI, or Azure PowerShell. 

2. Plan and implement data modeling and distribution

  • Designing efficient non-relational data models for Azure Cosmos DB, including denormalization strategies.
  • Implementing effective partitioning strategies to optimize performance and scalability for various workloads.
  • Understanding the different consistency levels and how to choose the right one for your application's requirements. 

3. Connect to Azure Cosmos DB with SDKs

  • Working with the Azure Cosmos DB SDK for NoSQL in different programming languages like C#, Java, or Python.
  • Connecting to Azure Cosmos DB accounts and performing basic operations like creating databases and containers programmatically.
  • Configuring the SDK for offline development using the Azure Cosmos DB emulator. 

4. Access and manage data

  • Performing CRUD (Create, Read, Update, Delete) operations on documents in Azure Cosmos DB containers using the SDK.
  • Executing queries using the Azure Cosmos DB SQL language, including filtering, ordering, and aggregation.
  • Implementing point operations versus query operations for optimal performance.
  • Managing multi-document transactions using the SDK's transactional batch feature. 

5. Implement advanced features and optimization

  • Defining and implementing indexing strategies for read-heavy and write-heavy workloads.
  • Creating server-side programming constructs like stored procedures, triggers, and user-defined functions (UDFs) with JavaScript.
  • Designing and implementing replication strategies for globally distributed data and handling conflicts with multi-region writes.
  • Optimizing query and operation performance through indexing, throughput configuration, and monitoring.
  • Implementing and consuming the change feed for event-driven architectures and data archiving.
  • Integrating Azure Cosmos DB with other Azure services like Azure Functions, Azure Event Hubs, and Azure Cognitive Search. 

6. Monitoring, troubleshooting, and management

  • Monitoring Azure Cosmos DB solutions using Azure Monitor, analyzing logs, and setting up alerts.
  • Troubleshooting common issues related to performance, connectivity, and data distribution.
  • Implementing backup and restore strategies, including choosing between periodic and continuous backup.
  • Managing Azure Cosmos DB resources using DevOps practices and Infrastructure as Code (IaC) tools like Azure Resource Manager (ARM) templates. 

7. Security

  • Implementing network-level access control, data encryption (service-managed and customer-managed keys), and authentication with Azure Active Directory (AAD).
  • Configuring Cross-Origin Resource Sharing (CORS) settings.
  • Managing account keys securely using Azure Key Vault. 
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