Training Specialist

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Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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

Mock Interview

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