Graph Database & Azure Cosmos DB – Hands-on Training Program

Job Description: Training Program – Graph Database & Azure Cosmos DB

Program Title:

Graph Database & Azure Cosmos DB – Hands-on Training Program

Participant Size:

15–17 Participants (Pax)

Training Type:

Instructor-led | Hands-on | Project-based

Duration:

[Specify duration – e.g., 3–5 Days / 30–40 Hours]

Mode:

[Online / Classroom / Hybrid]

Program Overview

This training program is designed to upskill participants on Graph Database concepts and Azure Cosmos DB, with a strong focus on real-world use cases, hands-on labs, and best practices for designing, querying, and managing globally distributed databases on Azure.

Participants will gain practical exposure to graph data modeling, Gremlin queries, and Azure Cosmos DB APIs, enabling them to build scalable, high-performance applications.

Target Audience

• Software Developers
• Data Engineers
• Cloud Engineers
• Solution Architects
• Backend Developers
• Professionals looking to transition into cloud-native database solutions

Prerequisites

• Basic understanding of databases (SQL/NoSQL concepts)
• Familiarity with cloud computing fundamentals (Azure preferred)
• Basic programming knowledge (Java, Python, or JavaScript)
• No prior experience with Graph Databases required

Training Objectives

By the end of the training, participants will be able to:

• Understand Graph Database fundamentals and use cases
• Design and model graph-based data structures
• Work with Azure Cosmos DB (Core, Gremlin APIs)
• Write and optimize Gremlin queries
• Implement scalability, partitioning, and indexing strategies
• Secure and monitor Cosmos DB workloads
• Build and deploy graph-based applications on Azure

Key Topics Covered

Graph Database Fundamentals

• Introduction to Graph Databases
• Nodes, Edges, Properties
• Graph data modeling techniques
• Common graph use cases (recommendation engines, social networks, fraud detection)

Azure Cosmos DB Overview

• Introduction to Azure Cosmos DB
• Cosmos DB APIs (Core SQL, Gremlin, Table, MongoDB – focus on Gremlin)
• Global distribution and multi-region replication
• Throughput (RU/s) and performance optimization

Azure Cosmos DB – Graph (Gremlin API)

• Creating Cosmos DB Graph accounts
• Graph containers and partition keys
• Gremlin query language fundamentals
• Advanced Gremlin traversals
• Indexing and performance tuning

Security, Monitoring & Best Practices

• Authentication and access control
• Data consistency models
• Backup and disaster recovery
• Monitoring using Azure Monitor & Application Insights

Hands-on Labs & Mini Project

• Creating and managing Cosmos DB resources
• Graph data ingestion
• Querying and traversal exercises
• Mini project: Design and implement a real-world graph-based solution

Deliverables

• Hands-on lab exercises
• Sample datasets and reference architectures
• Mini project implementation
• Training completion certificate
• Session recordings and training material (if applicable)

Evaluation & Assessment

• Lab-based assessments
• Mini project evaluation
• Participation and practical understanding