Azure Cosmos DB
Introduction to Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service designed to handle a variety of data types and workloads. This module introduces Azure Cosmos DB, covering its core features, global distribution, and use cases for modern applications.
Setting Up Azure Cosmos DB
Learn how to create and configure an Azure Cosmos DB account. This section covers setting up your first database and container, understanding the different consistency models, and managing account settings.
Data Models and APIs
Discover the different data models supported by Azure Cosmos DB, including document, key-value, graph, and column-family. Learn about the APIs available for interacting with Cosmos DB, such as SQL API, MongoDB API, Gremlin API, and Table API.
CRUD Operations
Understand how to perform Create, Read, Update, and Delete (CRUD) operations in Azure Cosmos DB. Learn about the API-specific methods for managing data, querying documents, and handling transactions.
Indexes and Querying
Gain insights into indexing and querying in Azure Cosmos DB. Learn how to configure indexing policies, optimize queries, and use the SQL query language for efficient data retrieval and analysis.
Global Distribution and Replication
Explore how to leverage Azure Cosmos DB’s global distribution capabilities. Learn about multi-region replication, consistency levels, and how to ensure high availability and disaster recovery.
Performance and Scalability
Discover techniques for optimizing performance and scaling your Azure Cosmos DB database. Learn about throughput provisioning, partitioning strategies, and best practices for handling large volumes of data.
Security and Compliance
Learn about security and compliance considerations for Azure Cosmos DB. Understand how to implement access control, encryption, and compliance with industry standards and regulations.
Monitoring and Diagnostics
Explore tools and techniques for monitoring and diagnosing issues in Azure Cosmos DB. Learn how to use Azure Monitor, diagnostic logs, and metrics to ensure the health and performance of your database.
Integration with Other Azure Services
Learn how to integrate Azure Cosmos DB with other Azure services such as Azure Functions, Azure Logic Apps, and Power BI. Understand how to leverage these integrations for enhanced functionality and data processing.
Cost Management and Optimization
Understand cost management and optimization strategies for Azure Cosmos DB. Learn about pricing models, cost control measures, and how to optimize resource usage to manage expenses effectively.
Real-World Projects and Case Studies
Review real-world projects and case studies that illustrate the use of Azure Cosmos DB. Learn from practical examples of how organizations have implemented Cosmos DB solutions to meet their business needs.
Career Development and Azure Certifications
Azure Certifications Overview: Paths and preparation tips for Cosmos DB and related certifications
Building a Career with Azure Cosmos DB: Skills development and career opportunities
Interview Preparation: Common interview questions and scenarios related to Cosmos DB
Azure Cosmos DB Syllabus
1. Introduction to Azure Cosmos DB
- Overview of Azure Cosmos DB
- Key features and benefits
- Use cases and scenarios
2. Getting Started
- Creating an Azure Cosmos DB account
- Exploring Azure Cosmos DB APIs (SQL, MongoDB, Cassandra, Gremlin, Table)
- Understanding consistency levels and their implications
3. Data Modeling and Partitioning
- Understanding partitioning concepts in Azure Cosmos DB
- Choosing partition keys
- Best practices for data modeling
4. Working with Data in Azure Cosmos DB
- CRUD operations (Create, Read, Update, Delete)
- Querying data using SQL API
- Indexing strategies and best practices
5. Developing Applications with Azure Cosmos DB
- Connecting applications to Azure Cosmos DB
- Implementing partitioning strategies in applications
- Handling retries and errors
6. Advanced Data Management
- Server-side programming with stored procedures, triggers, and user-defined functions
- Working with geospatial data and spatial indexing
- Transactions and consistency management in distributed environments
7. Monitoring and Optimization
- Monitoring Azure Cosmos DB performance
- Performance tuning and optimization techniques
- Cost management and scaling considerations
8. Security and Compliance
- Authentication and authorization in Azure Cosmos DB
- Data encryption at rest and in transit
- Compliance certifications and regulatory considerations
9. Integration with Other Azure Services
- Integrating Azure Cosmos DB with Azure Functions
- Serverless architectures and Azure Cosmos DB
- Data migration strategies to and from Azure Cosmos DB
10. Advanced Data Modeling
- Advanced partitioning strategies
- Composite partition keys
- Hierarchical partitioning
11. Advanced Querying and Indexing
- Advanced querying techniques using SQL API
- Range queries and composite indexes
- Performance tuning through indexing strategies
12. Server-side Programming
- Implementing complex business logic with stored procedures
- Trigger-based operations for reactive programming
- User-defined functions for custom data processing
13. Geospatial Data and Spatial Indexing
- Storing and querying geospatial data
- Spatial indexing for efficient spatial queries
- Integration with mapping and visualization tools
14. Transactions and Consistency Models
- Understanding multi-document transactions
- Optimistic concurrency control
- Consistency policies and trade-offs
15. Advanced Monitoring and Optimization
- Monitoring performance metrics at scale
- Diagnosing and troubleshooting performance issues
- Advanced performance optimization techniques
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details