MongoDB Data Modelling Course Overview

MongoDB Data Modelling Course Overview

### MongoDB Data Modeling Course Overview

Our MongoDB Data Modeling course offers a comprehensive and hands-on exploration of MongoDB, ideal for understanding both foundational concepts and advanced schema design. Over 16 hours, participants will learn to work with MongoDB Atlas, effectively model data relationships, and apply various schema design patterns and anti-patterns. The course covers schema lifecycle management, including validation, evolution, and migration. By the end, attendees will have the skills needed to design efficient MongoDB schemas and manage databases effectively. This course is perfect for Database Administrators, Developers, Data Architects, and IT Professionals seeking to excel in NoSQL databases.

Learning Objectives:
- Mastery of MongoDB Atlas and its features
- Effective data modeling for various relationships
- Implementing and understanding schema design patterns

Practical Applications:
- Optimize MongoDB database performance
- Integrate MongoDB into applications
- Manage the complete schema lifecycle from validation to migration

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  • Live Training (Duration : 16 Hours)
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  • Classroom Training fee on request

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for MongoDB Data Modelling

The MongoDB Data Modeling course equips participants with the skills to design efficient schemas and manage MongoDB databases through an in-depth exploration, covering both fundamental and advanced schema design concepts.


  • Database Administrators
  • Software Developers
  • Data Architects
  • IT Professionals
  • Students and Newcomers
  • Backend Engineers
  • Data Engineers
  • System Analysts
  • Technical Leads
  • Software Architects
  • Cloud Engineers
  • Application Developers
  • Solution Architects
  • DevOps Engineers
  • IT Managers
  • Full-Stack Developers
  • Software Consultants
  • IT Trainers
  • Technical Project Managers
  • Data Analysts


Learning Objectives - What you will Learn in this MongoDB Data Modelling?

MongoDB Data Modeling Course

  1. This comprehensive course equips participants with the skills to design effective MongoDB schemas, manage data relationships, and perform advanced schema design tasks using MongoDB Atlas.

  2. Learning Objectives and Outcomes:

    • Understand foundational concepts of MongoDB and its document model.
    • Gain hands-on experience with MongoDB Atlas, including account setup and database management.
    • Identify and quantify database workloads, including reads and writes.
    • Model various data relationships such as one-to-one, one-to-many, and many-to-many.
    • Learn and implement essential schema design patterns such as Inheritance, Computed, and Extended Reference.
    • Explore advanced schema design patterns like Bucket, Subset, and Archive.
    • Recognize and avoid common schema design anti-patterns, including unbounded arrays and unnecessary indexes.
    • Perform schema validation, evolution, and migration to manage schema lifecycle effectively.
    • Develop the capability to optimize MongoDB database performance.
    • Apply best practices in data normalization and handling case sensitivity.

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