MongoDB Certification Training

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Enroll now to become a Certified MongoDB Developer with EDTIA MongoDB Certification Training, upgrade your skills, and lead your professional life.

Course Description

This MongoDB certification training will assist you in learning the top document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design, Data Modelling, and Indexing.

MongoDB certification course makes you job-ready by helping you master data modeling, ingestion, query, sharding, and data replication with MongoDB and installing, updating, and maintaining the MongoDB environment.

A great MongoDB developer should understand the key differences between SQL and NoSQL databases on the conceptual level, and they should also be comfortable with the specific syntax of MongoDB. They can be developers with considerable hands-on experience with MongoDB or a DBA with development experience.

MongoDB is designed to make data easy to access and rarely requires joins or transactions, but it's more than up to the task when you need to do complex querying. The MongoDB Query API lets you query deep into documents and even execute complicated analytics pipelines with just a few lines of declarative code.

With MongoDB, data definition is wholly contained within program code so that schema changes can be made without reference to a central authority and included with no extra effort in nightly or continuous build cycles. These are the technological explanations for why developers prefer MongoDB.

MongoDB is an open-source NoSQL database. A non-relational database can process structured, semi-structured, and unstructured data. It utilizes a non-relational, document-oriented data model and a non-structured query language. MongoDB is highly flexible and enables you to combine and store multiple data types.

MongoDB is one of the most famous NoSQL database management systems (DBMS), and there are detailed points or advantages to support its favor. These advantages are as follows: MongoDB allows flexible document manipulation, and any document can be manipulated or modeled virtually with ease.

MongoDB is created on a scale-out architecture that has become famous with developers of all kinds for developing scalable applications with evolving data schemas. MongoDB makes it easy for developers to hold structured or unstructured data as a document database, and it uses a JSON-like format to store documents.

What you'll learn

  • In this course, you will learn: leading document-oriented NoSQL database, MongoDB Architecture CRUD Schema Design Data Modelling Indexing


  • Understanding of any programming language such as Java, a basic knowledge of database concepts, inside of a text editor such as 'VI editor.'


n this module, you will get an understanding of NoSQL databases, design goals, requirement of NoSQL database/ MongoDB, MongoDB® architecture and introduction to JSON and BSON among others. This module will also cover the installation of MongoDB® and associated tools.

Understanding the basic concepts of a Database
Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS
Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property
CAP Theorem, implementing NoSQL and what is MongoDB?
Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools
Understanding the following: Collection, Documents and Key/ Values, etc.
Introduction to JSON and BSON documents
Environment setup and using various MongoDB tools known in the MongoDB Package
Case study discussion
MongoDB Installation

In this module, you will learn Schema Design and Data Modelling in MongoDB®, various data structure and tools available to manage Data Model in MongoDB.

Data Modelling Concepts
Why Data Modelling? Data Modelling Approach
Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model
Challenges for Data Modelling in MongoDB
Data Model Examples and Patterns
Model Relationships between Documents
Model Tree Structures
Model Specific Application Contexts
Use Case discussion of Data modeling
HR Data Modeling in RDBMS

In this module, you will get an understanding of CRUD Operations and their functional usage. You will learn how to perform read/write operations with CRUD.

MongoDB Development Architecture
MongoDB Production Architecture
MongoDB CRUD Introduction, MongoDB CRUD Concepts
MongoDB CRUD Concerns
Concern Levels, Journaling, etc.,
Cursor Query Optimizations, Query Behavior in MongoDB
Distributed Read & Write Queries
MongoDB Datatypes
MongoDB CRUD Syntax & Queries
MongoDB CRUD Operation

In this module, you will learn the Indexing and Aggregation Framework in MongoDB®.

Index Introduction, Index Concepts, Index Types, Index Properties
Index Creation and Indexing Reference
Introduction to Aggregation
Approach to Aggregation
Types of Aggregation
Performance Tuning.
Work with Aggregations

In this module you will learn MongoDB® administrative activities such as Health Check, Backup, Recovery, Data Import/Export, Performance tuning, etc.

Administration concepts in MongoDB
Monitoring issues related to Database
Monitoring at Server, Database, Collection level, and different Monitoring tools related to MongoDB
Database Profiling, Locks, Memory Usage, No of connections, page fault etc.
Backup and Recovery Methods for MongoDB
Export and Import of Data to and from MongoDB
Run time configuration of MongoDB
Production notes/ best practices
Data Managements in MongoDB
Import and Export MongoDB® Data

In this module, you will understand the setup and configuration of MongoDB® High Availability, Disaster Recovery, and Load Balancing.

Introduction to Replication (High Availability)
Concepts around Replication
What is Replica Set and Master Slave Replication?
Type of Replication in MongoDB
How to setup a replicated cluster & managing replica sets etc.
Introduction to Sharding (Horizontal Scaling)
Concepts around Sharding, what is shards, Key
Config Server, Query Router etc.
How to setup a Sharding
Type of Sharding and Managing Shards.
Replication setup
Set up Sharding

In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also, you will learn to integrate it with various reporting and Analytical tools like Pentaho, Jaspersoft etc.

Security Introduction
Security Concepts
Integration of MongoDB with Jaspersoft
Integration of MongoDB with Pentaho
Integration of MongoDB with Hadoop/Hive
Integration of MongoDB with Java
Integration of MongoDB with GUI Tool Robomongo
Case Study MongoDB and Java
Integration Scenarios

In this module, you will learn about various cloud products offered by MongoDB and how they can be used to host or manage your MongoDB deployments.

Overview of MongoDB Cloud products
Using Cloud Manager to monitor MongoDB deployments
Introduction to MongoDB Stitch
MongoDB Cloud Atlas
MongoDB Cloud Manager
Working with MongoDB Ops Manager
MongoDB Cloud Manager – exploring

learn MongoDB® tools to develop and deploy your applications, numerous package components, and advanced concepts related to MongoDB integration, Hadoop, and MongoDB integration.

MongoDB Package Components
Configuration File Options
MongoDB Limits and Thresholds
Connection String URI Format/ Integration of any consistent tool with MongoDB API and Drivers for MongoDB
MMS (MongoDB Monitoring Service)
HTTP and Rest Interface
Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive)
Integration with R
MongoDB with R integration

understand some common real-time scenarios you might find in production and how they can be fixed once identified.

Overview of tools
MongoDB Diagnostic Tools
Diagnostics Commands
MongoDB Deployment
Slow Queries
Troubleshooting scenarios


Edtia Support Team is for a lifetime and will be open 24/7 to help with your questions during and after completing the MongoDB Certification Training.

The average salary for a MongoDB developer is $106,106 per year.

To better understand the MongoDB Certification Training, one must learn as per the curriculum.

A MongoDB developer manages the database administration and is crucial in providing vital information to the company. They understand and translate business specifications to offer practical solutions.

Ad-hoc queries for optimized real-time analytics. Indexing appropriately for better query executions. Replication for better data availability and stability. Sharding. Load balancing

MongoDB is a Document Database that stores all schema and records in documents using a JSON (JavaScript Object Notation) like syntax. MongoDB will not be complicated to understand if you are familiar with JavaScript, JSON, and Web Development, and these courses will help you get a good start.

$331 $349
$18 Off

Training Course Features


Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.


For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.


Successfully complete your final course project and Edtia will provide you with a completion certification.

MongoDB Certification Training

MongoDB Training demonstrates that the holder has the proficiency and aptitudes to work with MongoDB.

By enrolling in MongoDB and completing the module, you can get the Edtia MongoDB Training Certification.

Understanding numerous frameworks is no damage in your Big Data career. MongoDB certification helps you enhance your skills as a Big Data Engineer as well as it gives a significant boost to your career in terms of salary and hike.

MongoDB might be proper for you if you're ready for a career in a stable and high-paying field, and this Certification is the place to start.

demo certificate


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