Mongo DB

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Course Overview

MongoDB is an open-source document database available in the market, which provides high performance, high automatic scalability, high availability and high flexibility to perform querying and indexing operations effectively. As MongoDB is a document DB, it stores the records as documents. A database document is basically composed with field value pairs where the values can be other documents or arrays or arrays of documents.


  • Resume & Interviews Preparation Support
  • Hands on Experience on One Live Project.
  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Multiple Flexible Batches

At the end of Mongo DB Training Course, Participants will be able to:

  • Integrate MongoDB with tools like Jaspersoft and Pentaho
  • Integration of MongoDB with GUI Tool Robomongo
  • Develop an expertise in writing Java and Node JS applications using MongoDB
  • Troubleshoot Performance issues.
  • Understand MongoDB Aggregation framework
  • Learn MongoDB Backup and Recovery options and strategies
  • How to setup a replicated cluster, Managing ReplicaSets etc.

Course Duration

  • (35-40 hours)

Prerequisites :

  • Basic Understanding of any database/SQL is good.


1.1 Introduction to MongoDB

  • Overview
  • What is MongoDB?
  • MongoDB Relative to Relational
  • Application Architecture
  • Quick Introduction to the Mongo Shell
  • Introduction to JSON
  • Database, Collection and Documents
  • Various Data Types in MongoDB

1.2 Installation MongoDB

  • Installing MongoDB (windows)
  • Installing MongoDB (linux)
  • Node Packaged Modules
  • Express, Swig

1.3 CRUD Operations

  • CRUD Operations
  • Database Operations
  • Read and Write Operations
  • Aggregation
  • Query Operators

1.4 Schema Design and Data Modelling 

  • Patterns
  • Case Studies
  • Tradeoffs
  • Why write statements in Frontends?
  • Data Modeling Introduction
  • Data Modeling Concept

1.5 Replication Overview

  • Asynchronous Replication
  • Statement-based vs. Binary Replication
  • Replication Concepts
  • Automatic Failover
  • Recovery
  • Starting Replica Sets
  • Initiating a Replica
  • Replica Set Status
  • Replica Set Commands
  • Reading & Writing

1.6 Indexing and Aggregation Framework 

  • Index Introduction
  • Index Concepts, Index Types, Index Properties
  • Index Creation and Indexing Reference
  • Introduction Aggregation
  • Approach to Aggregation
  • Type of Aggregation (Pipeline, MapReduce & Single Purpose) and Performance Tuning.

1.7 Performance

  • Using Indexes
  • Monitoring And Understanding Performance
  • Performance In Sharded Environments

1.8 Storage Classes

  • External Storage Class
  • Automatic Storage Class
  • Register Storage Class
  • Static Storage Class

1.9 Introduction to Mongoose


It might depend on every individual company. But, widely these are the roles anyone can expect after successful completion of MongoDB Training.

  • MongoDB developer
  • MongoDB administrator
  • MongoDB architect
  • MongoDB Associates
  • Flexible data model in form of documents
  • Agile and highly scalable database
  • Faster than traditional databases
  • Expressive query language

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