Course content

About MongoDB

Introduction

What is MongoDB?

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The Key MongoDB Characteristics (and how they differ from SQL Databases)

Understanding the MongoDB Ecosystem

General Setup Instructions & Installing MongoDB on macOS

Installing MongoDB on Windows

Installing the MongoDB Shell

Installing mongoimport

Time To Get Started!

Shell vs Drivers

MongoDB + Clients: The Big Picture

Course Outline

How To Get The Most Out Of The Course

Module Introduction

Understanding Databases, Collections & Documents

The Shell & MongoDB Drivers for Different Languages

Creating Databases & Collections

Understanding JSON Data

Comparing JSON & BSON

Create, Read, Update, Delete (CRUD) & MongoDB

Finding, Inserting, Deleting & Updating Elements

Understanding "insertMany()"

Diving Deeper Into Finding Data

"update" vs "updateMany()"

Understanding "find()" & the Cursor Object

Understanding Projection

Embedded Documents & Arrays - The Theory

Working with Embedded Documents

Working with Arrays

Accessing Structured Data

Time to Practice - The Basics & CRUD Operations

Resetting Your Database

Module Introduction

Why Do We Use Schemas?

Structuring Documents

Data Types - An Overview

Data Types in Action

Data Types & Limits

How to Derive your Data Structure - Requirements

Understanding Relations

One To One Relations - Embedded

One To One - Using References

One To Many - Embedded

One To Many - Using References

Many To Many - Embedded

Many To Many - Using References

Summarizing Relations

Using "lookUp()" for Merging Reference Relations

Planning the Example Exercise

Implementing the Example Exercise

Understanding Schema Validation

Adding Collection Document Validation

Changing the Validation Action

Module Introduction

Finding Available Options

Setting "dbpath" & "logpath"

Exploring the MongoDB Options

MongoDB as a Background Service

Using a Config File

Shell Options & Help

Useful Resources & Links

Module Introduction

Exploring the MongoDB Compass

Useful Resources & Links

Module Introduction

Creating Documents - An Overview

Understanding "insert()" Methods

Working with Ordered Inserts

Understanding the "writeConcern"

The "writeConcern" in Practice

What is Atomicity?

Time to Practice - Create Operations

Importing Data

Module Introduction

Methods, Filters & Operators

Operators - An Overview

Query Selectors & Projection Operators

Understanding "findOne()" & "find()"

Working with Comparison Operators

Querying Embedded Fields & Arrays

Understanding "$in" and "$nin"

"$or" and "$nor"

Understanding the "$and" Operator

Using "$not"

Diving Into Element Operators

Working with "$type"

Understanding Evaluation Operators - "$regex"

Understanding Evaluation Operators - "$expr"

Time to Practice - Read Operations

Diving Deeper Into Querying Arrays

Using Array Query Selectors - "$size"

Using Array Query Selectors - "$all"

Using Array Query Selectors - "$elemMatch"

Time to Practice - Array Query Selectors

Understanding Cursors

Applying Cursors

Sorting Cursor Results

Skipping & Limiting Cursor Results

Using Projection to Shape our Results

Using Projection in Arrays

Understanding "$slice"

Useful Resources & Links

Module Introduction

Updating Fields with "updateOne()", "updateMany()" and "$set"

Updating Multiple Fields with "$set"

Incrementing & Decrementing Values

Using "$min", "$max" and "$mul"

Getting Rid of Fields

Renaming Fields

Understanding "upsert()"

Time to Practice - Update Operations

Updating Matched Array Elements

Updating All Array Elements

Finding & Updating Specific Fields

Adding Elements to Arrays

Removing Elements from Arrays

Understanding "$addToSet"

Module Introduction

Understanding "deleteOne()" & "deleteMany()"

Deleting All Entries in a Collection

Useful Resources & Links

What Are Indexes & Why Do We Use Them?

Adding a Single Field Index

Indexes Behind the Scenes

Understanding Index Restrictions

Creating Compound Indexes

Using Indexes for Sorting

Understanding the Default Index

Configuring Indexes

Understanding Partial Filters

Applying the Partial Index

Understanding the Time-To-Live (TTL) Index

Query Diagnosis & Query Planning

Understanding Covered Queries

How MongoDB Rejects a Plan

Using Multi-Key Indexes

Understanding Text Indexes

Text Indexes & Sorting

Creating Combined Text Indexes

Using Text Indexes to Exclude Words

Setting the Default Language & Using Weights

Building Indexes

Module Introduction

Adding GeoJSON Data

Running Geo Queries

Adding a Geospatial Index to Track the Distance

Adding Additional Locations

Finding Places Inside a Certain Area

Finding Out If a User Is Inside a Specific Area

Finding Places Within a Certain Radius

Time to Practice - Geospatial Data

What is the Aggregation Framework?

Getting Started with the Aggregation Pipeline

Using the Aggregation Framework

Understanding the Group Stage

Diving Deeper Into the Group Stage

Time to Practice - The Aggregation Framework

Working with $project

Turning the Location Into a geoJSON Object

Transforming the Birthdate

Using Shortcuts for Transformations

Understanding the $isoWeekYear Operator

$group vs $project

Pushing Elements Into Newly Created Arrays

Understanding the $unwind Stage

Eliminating Duplicate Values

Using Projection with Arrays

Getting the Length of an Array

Using the $filter Operator

Applying Multiple Operations to our Array

Understanding $bucket

Diving Into Additional Stages

How MongoDB Optimizes Your Aggregation Pipelines

Writing Pipeline Results Into a New Collection

Working with the $geoNear Stage

Module Introduction

Number Types - An Overview

MongoDB Shell & Data Types

Understanding Programming Language Defaults

Working with int32

Working with int64

Doing Maths with Floats int32s & int64s

What's Wrong with Normal Doubles?

Working with Decimal 128bit

Understanding Role Based Access Control

Roles - Examples

Creating a User

Built-In Roles - An Overview

Assigning Roles to Users & Databases

Updating & Extending Roles to Other Databases

Time to Practice - Security

Adding SSL Transport Encryption

Encryption at REST

Module Introduction

What Influences Performance?

Understanding Capped Collections

What are Replica Sets?

Understanding Sharding

Deploying a MongoDB Server

Using MongoDB Atlas

Backups & Setting Alerts in MongoDB Atlas

Connecting to our Cluster

Module Introduction

What are Transactions?

A Typical Usecase

How Does a Transaction Work?

Useful Resources & Links

Module Introduction

Splitting Work Between the Driver & the Shell

Preparing our Project

Installing Visual Studio Code

Installing the Node.js Driver

Connecting Node.js & the MongoDB Cluster

Storing Products in the Database

Storing the Price as 128bit Decimal

Fetching Data From the Database

Creating a More Realistic Setup

Getting a Single Product

Editing & Deleting Products

Implementing Pagination

Adding an Index

Signing Users Up

Adding an Index to Make the Email Unique

Adding User Sign In

Module Introduction

Stitch & MongoDB Realm

What is Stitch?

Preparations

Start Using Stitch

Adding Stitch to our App & Initializing It

Adding Authentication

Sending Data Access Rules

Fetching & Converting Data

Deleting Products

Finding a Single Product

Adding Products

Updating Products

Switching to User Email & Password Authentication

Adding User Sign Up & Confirmation

Adding User Login

Rules & Real Users

The Current State of Authentication

Functions & Triggers

Why Should You Learn MongoDB Training?

The annual salary of an MongoDB is $125k.

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TRAINING FEATURES

Instructor-led Sessions

Engage in live, interactive sessions led by industry experts, ensuring better guidance, monitoring, and flexible learning from any internet-enabled device.

Real-life Case Studies

Gain practical insights through case studies based on real-world industry applications, helping bridge the gap between theory and practice.

Assignments

Enhance your analytical skills and understanding with hands-on assignments designed to reinforce key concepts and practical application.

Lifetime Access

Enjoy unrestricted access to course materials for a lifetime, allowing you to learn and revisit topics at your own pace.

24/7 Expert Support

Get round-the-clock assistance from experienced mentors to resolve your queries and enhance your learning experience.

Certification

Earn industry-recognized certification upon course completion, validating your skills and boosting your career prospects.

Track

Week Days

Course Duration

Fast Track

Week Days

40-45 Days

2 Hrs. Per Day

Online

Course Duration

7 Weekends

3 Hrs. Per Day

Online

Fast Track

8 Days

6+ Hrs. Per Day

Online

Students Reviews

Explore authentic student feedback on ZebLearn’s expert-led SAP training and foreign language courses. Discover success stories from learners who earned certifications, enhanced their skills, and advanced their careers!

Neha Sharma

MongoDB Database Architect

Neha Sharma is an experienced MongoDB Database Architect at ZeblearnIndia, focusing on designing robust MongoDB database architectures. She excels in data modeling, sharding, and replication strategies to support high availability and performance requirements for enterprise applications.

Ananya Desai

MongoDB Application Developer

Ananya Desai is a skilled MongoDB Application Developer at ZeblearnIndia, proficient in developing applications that utilize MongoDB as the backend database. She focuses on API integration, data storage optimization, and ensuring data consistency and integrity within MongoDB-driven applications.

Rohan Patel

MongoDB Developer

Rohan Patel is a proficient MongoDB Developer at ZeblearnIndia, with expertise in designing and developing applications using MongoDB. He specializes in schema design, indexing strategies, and leveraging MongoDBs document-oriented model to build scalable and efficient database solutions.

Priya Singh

MongoDB Administrator

Priya Singh is a skilled MongoDB Administrator at ZeblearnIndia, specializing in managing and optimizing MongoDB database environments. She excels in cluster deployment, performance tuning, and implementing backup and recovery strategies to ensure the availability and scalability of MongoDB databases.

Karthik Reddy

MongoDB Data Engineer

Karthik Reddy is a dedicated MongoDB Data Engineer at ZeblearnIndia, specializing in implementing data pipelines and ETL processes using MongoDB. He leverages MongoDBs capabilities for real-time analytics, data integration, and building scalable data solutions to meet business needs.

Date

Type

Schedule

Time

SOLD OUT

19 May 2025

Weekend

SAT - SUN (08 Week)

18:00 To 20:00

24 May 2025

Weekday

MON - FRI (08 Week)

08:00 To 10:00

29 May 2025

Weekend

MON - FRI (08 Week)

10:00 To 00:00

MongoDB Training Program

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KEY POINTS

90+

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1500+

5+

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Course content

Why Should You Learn MongoDB Training?

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TRAINING FEATURES

Instructor-led Sessions

Real-life Case Studies

Assignments

Lifetime Access

24/7 Expert Support

Certification

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Phone Support

WhatsApp Support

(19 May ) 60 Minutes WEBINAR with CERTIFICATE

Students Reviews

Neha Sharma

Ananya Desai

Rohan Patel

Priya Singh

Karthik Reddy