This course introduces Microsoft Azure Cosmos DB, a globally distributed, multi-model database service designed for scalability and performance. Participants will learn to design, develop, and manage applications that leverage Cosmos DB for real-time, high-availability data solutions. From understanding core concepts to implementing advanced features, this training ensures a strong foundation for working with Cosmos DB.

Prerequisites

• Basic Knowledge of Databases: Familiarity with SQL and NoSQL concepts.
• Programming Skills: Experience with a programming language like Python, Java, or .NET.
• Understanding of Cloud Concepts: General knowledge of cloud computing and Microsoft Azure.

Table of Contents

1. Introduction to Cosmos DB
1.1. What is Cosmos DB?
1.2. Key Features and Benefits
1.3. Use Cases for Cosmos DB
1.4. Comparing Cosmos DB with Other NoSQL Databases

2. Cosmos DB Architecture and Models
2.1. Partitioning and Global Distribution
2.2. Multi-Model Support: Key-Value, Graph, Table, and Document Models
2.3. Consistency Levels: From Strong to Eventual Consistency
2.4. Understanding Resource Units (RUs)

3. Setting Up Cosmos DB
3.1. Creating and Configuring a Cosmos DB Account
3.2. Choosing the Right API: SQL, MongoDB, Cassandra, Gremlin, or Table
3.3. Setting Up Database and Containers
3.4. Securing Access to Cosmos DB

4. Data Modeling and Indexing
4.1. Designing Efficient Data Models
4.2. Schema-Free Design in Cosmos DB
4.3. Indexing Policies and Performance Optimization
4.4. Querying Data with SQL API

5. Developing Applications with Cosmos DB
5.1. SDKs and Tools for Developers(Ref: Advanced Cosmos DB: Performance Optimization Techniques)
5.2. Integrating Cosmos DB with .NET, Java, Python, and Node.js
5.3. CRUD Operations with Cosmos DB
5.4. Implementing Transactions and Stored Procedures

6. Performance and Scalability
6.1. Tuning Throughput with Request Units
6.2. Partitioning Strategies for Scalability
6.3. Optimizing Query Performance
6.4. Monitoring and Troubleshooting Performance

7. Real-Time Applications with Cosmos DB
7.1. Implementing Change Feed for Real-Time Processing
7.2. Integrating Cosmos DB with Azure Functions and Event Grid
7.3. Building Event-Driven Applications
7.4. Case Studies of Real-Time Use Cases

8. Backup, Recovery, and High Availability
8.1. Configuring Geo-Replication
8.2. Ensuring Data Resilience and Failover
8.3. Backup and Restore Strategies
8.4. Disaster Recovery Planning

9. Cosmos DB Security and Compliance
9.1. Role-Based Access Control (RBAC)
9.2. Encrypting Data at Rest and in Transit
9.3. Managing Keys with Azure Key Vault
9.4. Meeting Compliance Standards

10. Advanced Topics and Use Cases
10.1. Time-to-Live (TTL) and Expiry Policies
10.2. Integrating Cosmos DB with Machine Learning Models
10.3. Multi-Tenant Applications with Cosmos DB
10.4. Industry-Specific Implementations

11. Conclusion of Cosmos DB Essentials
11.1. Summary of Cosmos DB Features and Capabilities
11.2. Best Practices for Cosmos DB Development
11.3. Future Trends in NoSQL and Distributed Databases
11.4. Final Thoughts on Building Scalable Applications

Conclusion

This course empowers participants to harness the full potential of Cosmos DB for developing scalable, globally distributed applications. With its multi-model architecture and performance-oriented features, Cosmos DB is ideal for modern cloud-native solutions. By the end of this training, learners will confidently design and implement applications tailored to meet dynamic business needs using Cosmos DB.

Reference