Training Specialist

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

Graph Database concepts

graph data modeling, Gremlin queries, and Azure Cosmos DB APIs

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