MongoDB Training 

Training Outcome In One Line 

  • Total hours and mode: 20 hours
  • Hands-on available? Yes
  • Technologies taught: MongoDB, MongoDB Atlas, MongoDB Compass, MongoDB Drivers, Aggregation Framework, Indexes and Performance Optimization, and Replication and Sharding.
  • Assessments or certification available

  Get Enterprise Training on Mongo DB  for Your Teams

10 Hours

Live Training

20 Hours


5 Hours


5 Hours


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Organizational Benefits of Training on "Technology"


Enhanced Data Mgmt

Improved Scalability

Robust Security Features

Flexible Schema Design

Benefit 2

Benefit 4

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Duration :20 Hours

Module - 1: Introduction to NOSQL & MongoDB

  1. Understanding Base Concepts of Database & Database Categories 
  2. What is NoSQL? 
  3. Why NoSQL? 
  4. Benefit over RDBMS, Types of NoSQL Database, and NoSQL vs. SQL Comparison
  5. ACID, Base Property &CAP Theorem
  6. What is MongoDB?
  7. Overview of MongoDB
  8. Design Goals for MongoDB Server and Database, MongoDB Tools
  9. Depth Understanding of Database, Collection, Documents and Key /Values etc.
  10. Introduction to JSON and BSON Document
  1. MongoDB CRUD Introduction
  2. MongoDB CRUD Concepts
  3. MongoDB CRUD Concerns (Read & Write Operations)
  4. Concern Levels & Journaling etc
  5. Query Behaviors in MongoDB
  6. MongoDB Datatypes
  7. MongoDB CRUD Syntax & Queries
  1. Data Modelling Concepts
  2. Type of Data Modelling
  3. Why Data Modelling? 
  4. Data Modelling Approach
  5. Analogy between RDBMS & MongoDB Data Model
  6. MongoDB Data Model (Embedding & Linking)
  7. Challenges for Data Modelling in MongoDB
  8. Data Model Examples and Patterns
  1. What Are Indexes & Why Do We Use Them?
  2. Understanding the Default Index
  3. Configuring Indexes
  4. Adding a Single Field Index
  5. Indexes Behind the Scenes
  6. Creating Compound Indexes
  7. Understanding Index Restrictions
  8. Understanding the Time-To-Live (TTL) Index
  9. Query Diagnosis & Query Planning
  10. Understanding Covered Queries
  11. Using Multi-Key Indexes
  12. Understanding Text Indexes
  13. Text Indexes
  14. Creating Combined Text Indexes and sing Text Indexes to Exclude Words
  1. Introduction to Aggregation
  2. What is the Aggregation Framework?
  3. General purpose aggregation
  4. Using the Aggregation Framework
  5. Getting Started with the Aggregation Pipeline
  6. Understanding the Group Stage
  7. Diving Deeper into the Group Stage
  8. Working with $project
  9. $group vs $project
  10. Writing Pipeline Results into a New Collection
  11. MapReduce 
  1. Introduction to Replication
  2. What is replication and why we need it
  3. Auto failover and Recovery
  4. Elections
  5. Configuration
  6. Oplog concepts
  7. Write concern.

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  1. Introduction to Sharding
  2. Understanding the concepts of
  3. Shard servers
  4. Config servers
  5. Cluster
  6. Sharding database server (mongos)
  7. Configuration
  8. Auto Split and Load Balancer
  9. Shard key and its importance
  10. Range based and Hash based Sharding.
  11. Deployment

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Trainer Details 

X years experience
X batches trained
Conducted trainings at A, B, C

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What our learners have to say about this training 

Arun KK is a seasoned professional with over two decades of experience in the IT industry. Throughout his illustrious career, Arun has adeptly navigated diverse roles, showcasing his versatility and expertise. With a rich background in customer-facing responsibilities, as well as in delivery and operations, Arun has consistently demonstrated

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