Description

Introduction
This training provides a comprehensive foundation for developing modern applications using Azure Cosmos DB. It covers key concepts such as data modeling, partitioning, indexing, performance optimization, and integrating Cosmos DB with Azure services. Learners gain hands-on experience in designing scalable, low-latency, globally distributed applications using the core APIs supported by Cosmos DB.

Prerequisites
Basic understanding of databases
Familiarity with JSON data structures
Knowledge of any programming language (C#, Java, Python, or JavaScript)
Basic understanding of Azure services is helpful but not mandatory

Table of Contents
1. Introduction to Azure Cosmos DB
1.1 Overview and Core Capabilities
1.2 Global Distribution and Multi-Region Architecture
1.3 Consistency Models Explained
1.4 Use Cases and Application Scenarios
2. Data Modeling in Cosmos DB
2.1 Data Modeling Principles
2.2 Designing Efficient JSON Schemas
2.3 Embedding vs. Referencing
2.4 Modeling for Different APIs (Core (SQL), MongoDB, Cassandra, Gremlin, Table)
3. Partitioning & Indexing Strategies
3.1 Choosing the Right Partition Key
3.2 Logical vs. Physical Partitions
3.3 Automatic and Manual Indexing
3.4 Index Policy Optimization
4. Querying with Azure Cosmos DB SQL API
4.1 SQL Syntax and Basic Queries
4.2 Joins, Aggregations and Filters
4.3 Stored Procedures, Triggers and UDFs
4.4 Query Performance Best Practices
5. Cosmos DB SDKs & Application Development
5.1 Using .NET, Java, Python, and Node.js SDKs
5.2 CRUD Operations and Pagination
5.3 Connection Management and Retry Logic
5.4 Integrating with Azure Functions & Web Apps
6. Performance, Scalability & Cost Optimization
6.1 Understanding Request Units (RUs)
6.2 RU Optimization Techniques
6.3 Scaling Throughput (Manual & Autoscale)
6.4 Monitoring with Azure Monitor & Insights
7. Security, Compliance & Governance
7.1 Network Security and Firewall Rules
7.2 Encryption at Rest & in Transit
7.3 Role-Based Access Control (RBAC)
7.4 Auditing, Compliance, and Governance
8. Backup, Restore & Data Migration
8.1 Backup Types and Frequency
8.2 Point-in-Time Restore
8.3 Migrating Data with Azure Data Factory
8.4 Using the Database Migration Tool
9. Real-World Scenarios & Best Practices
9.1 E-Commerce Application Architecture
9.2 IoT and Real-Time Systems
9.3 Microservices with Cosmos DB
9.4 Enterprise Integration Patterns

This training equips participants with the essential skills needed to build, optimize, and scale applications on Azure Cosmos DB. By mastering data modeling, partitioning, performance optimization, and integration techniques, learners are prepared to confidently develop enterprise-grade, globally distributed systems.