MongoDB Developer Training

Learn MongoDB by doing and become a sought-after MongoDB developer

  • Master the art of queries, CRUD, schema design, and data aggregation.
  • Understand scalability using sharding and replication.
  • Write code, build real-world projects and learn hands-on with Cloud Labs.
  • 250,000 + Professionals trained
  • 55,000 + Programmers upskilled
  • 70 + Countries and counting

Become a skilled MongoDB developer

Learn by doing with our MongoDB Developer Certification course online and acquire immediately applicable skills. Start with the MongoDB architecture and go on to learn how to perform CRUD operations. Gain the skills to work with the various functions provided by Mongo to achieve complex functionality - aggregate functions, indexing and more.

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Highlights

  • 16 Hours: Instructor-Led Sessions

  • 21 Hours: On-Demand Learning

  • 15 Hands-on Exercises

  • 11 Assessments, 29 Quizzes

  • 1 Capstone Project, 4 Assignments

  • Lifetime Access to Courseware

Why MongoDB?

Built for internet and business applications that require quick and elegant scaling, MongoDB has fast become an industry trend. It has gained popularity for its powerful query language and easy transition from a relational database to NoSQL database. Capable of handling a huge collection of data, MongoDB is used by teams of all sizes.

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To gain in-demand MongoDB skills, talk to our Learning Advisor today.

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The Knowledgehut Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning

Boost your tech profile with an immersive learning experience like never before.

  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments
  • Recall quizzes
  • Assignments and projects

Learn by Doing

learn-by-doing

Build real-world tech projects and acquire immediately applicable skills.

  • Learn to code. By actually coding
  • Work-like experiences, well-defined product requirements
  • Learn on the job, like developers in top tech companies

Cloud Labs

cloud-labs

We take care of the setup so you can focus on the learning.​

  • Access fully provisioned developer environment
  • Virtual machine exclusively spinned up in minutes
  • Write code right in your browser

Outcome-Driven Learning

social-learning

Achieve skill-based outcomes from our immersive learning experience platform.​

  • Get advanced learner insights​​​​
  • Measure and track skills progress
  • Identify areas to improve in

Blended Learning

social-learning

Live and interactive sessions by industry experts​​

  • On-demand, self-paced learning anytime, anywhere ​​​​​
  • Mentoring and guidance from industry experts (1 to 1)​​​​
  • Access to Discussion Forums and Community Groups
Prerequisites

Prerequisites

  • Basic understanding of Java or any other programming language
  • Knowledge of database concepts
  • Knowledge of a text editor like ‘Vi’

Who should attend this course?

MongoDB database administrators

Mongo DB developers, specialists

Principal database engineers

DBA professionals

Novices who meet prerequisites

MongoDB Course Schedules

Can't find the batch you're looking for?

Request a Batch

What you will learn in the MongoDB training program

1

Client Server and N-Tiered Architecture

Learn what is a Client Server Architecture and What is Mongo’s Role in an N-Tiered Architecture.

2

Logical and Physical Components

Learn what are Logical and Physical Components of MongoDB Infrastructure.

3

Collections

Master working with Collections and MongoDB Documents.

4

CRUD Operations

Master the skill to perform CRUD Operations against huge data in a NoSQL Database.

5

In-build Functions in MongoDB

Master In-built functions in MongoDB.

6

MQL and BSON

Master MQL and work extensively with BSON data.

7

Aggregation Framework

Learn how to build Complex BI Reports and Analytics reports using the Aggregation Framework.

8

Working with a Cluster

Master working with complex reads over a cluster

9

Heavy Read Operations

Master working with Heavy read operations over a scalable Mongo DB Cluster.

10

MongoDB Drivers and Platforms

Learn how to work with various MongoDB Drivers and Platforms.

11

Data from a NoSQL Perspective

Master the skill of Sorting, Indexing, Sharding, and Partitioning Data from a NoSQL Perspective.

12

Query Optimizations and Import/Export Operations

Master working on Query Optimizations and Import/Export Operations on MongoDB.

13

Integrating MongoDB

Integrate MongoDB with NodeJS, Java, and Python frameworks

Skills you will gain in the MongoDB course

Translate business requirements into technical specs

Implement appropriate indexes for performance improvement

Implement Mongo Management Service, automate tasks

Implement best practices for the Rest API integration framework

Develop MongoDB and API prototypes and proofs of concept

Implement optimal backup and recovery

Detect performance problems with MMS and Mongo Profiler

Master modeling/architectural patterns and governance

Evaluate, plan, and perform the DB Upgrades

Implement optimal backup and recovery

Implement best practices: backups, health checks

Backup and restore collections using JSON files

Understand customer requirements, environments

Build elegant, efficient, and scalable solutions

Build configurations meeting required crtieria

Enterprise

Add MongoDB skillsets to your teams

Unstructured data represents both a challenge and an opportunity to businesses. Build the right MongoDB skills and make productive use of your organization’s unstructured data.

  • Custom Training Solutions
  • Immersive Learning (with Cloud Labs)
  • Learn by doing approach
  • Immediately applicable skills


Skill Up Your Teams
500+ Clients

MongoDB Course Curriculum

Learning objectives

Get introduced to the NoSQL Database and its types and understand the purpose of MongoDB and the file format of BSON. Learn how to install MongoDB in Windows, Linux, and MAC OS.


Hands-on
Build an app that allows the user to key in text which it reverses and displays on the UI instantaneously.

Topics

  • What Is NoSQL Database
  • Types of No SQL Databases
  • Introduction to MongoDB
  • What is BSON?
  • Use case of MongoDB
  • MongoDB in Windows
  • MongoDB on Ubuntu
  • MongoDB on MAC OS
  • MongoDB Cloud-Atlas
  • Setup MongoDB Environment

Learning objectives

Learn the database fundamentals of MongoDB and how the architecture works. Learn about the collection, documents, and their structures, and _id field. Go on to list the various data types and learn about Mongo Shell.


Hands-on

  • Creating Capped Collection
  • Creating collections in MongoDB

Topics

  • What is a database?
  • Create Database – Demo
  • MongoDB Architecture
  • What is a collection?
  • Collections and Capped Collections - Demo
  • What is a document?
  • Document Structure
  • The _id field
  • Data Types
  • Mongo Shell
  • Mongo Shell - Demo

Learning objectives

Learn how to insert and query data, and update and delete data as required. You will also understand how to update or delete documents and drop a collection.


Hands-on

  • Inserting Data
  • Inserting Many Documents
  • Finding a Document
  • Updating Document
  • Deleting Document

Topics

  • Inserting Data
  • Querying Data using find() & findOne()
  • Basics of Querying Data - Demo
  • Querying Complex Data - Demo
  • Querying Null Values - Demo
  • The flavors of find – Atomic operations (Update & Delete)
  • Updating Data - Demo
  • Duplicate Data - Demo
  • Replace One - Demo
  • DeleteOne - Demo
  • DeleteMany - Demo
  • Dropping a Collection

Learning objectives

Learn the various data modeling schemas, and all about designing Data Models for schemas with the tree structure, with scenario-based examples.


Topics

  • Data Modelling Schemas
  • MongoDB Data Model and Relationships
  • Scenario-based examples

Learning objectives

Learn how to perform sorting, limiting records, indexing, and aggregation along with their syntax.


Hands-on

  • Sorting in Ascending Order 
  • Sorting in Descending order 
  • Limiting Records 
  • Creating Index 
  • Dropping Indexes 
  • View Existing Indexes 
  • COUNT Aggregation function
  • SUM Aggregation Function

Topics

  • Sorting
  • Sorting – Demo
  • Limiting records
  • Limit Data - Demo
  • Skip Data - Demo
  • Indexing
  • Indexes - Demo
  • Different Types of Indexing
  • Aggregation
  • Aggregation Pipeline - Demo
  • Aggregation MapReduce – Demo

Learning objectives

Understand Replication and sharding, and how to create a Backup.


Hands-on

  • Turn an input element into a controlled component
  • Implement refs to pull and set data to DOM elements when needed

Topics

  • Why Replication?
  • Sharding
  • Create Backup



Learning objectives

Learn to perform Backup and Restore operations. Get to know the purpose of export and import operations, and how to conduct them with a demo. Understand the purpose of monitoring resource utilization and query optimization and how to perform it, and get a basic understanding of security concepts in MongoDB.


Hands-on

  • Create a CurrencyConverter component that implements render props to provide the result which is then rendered on the screen
  • Build a higher-order function that empowers our App component with tools to fetch currency rates after conversion

Topics

  • Backup and Restore Operations
  • Backup - Demo
  • Restore - Demo
  • Import and Export Operations
  • Import and Export Operations - Demo
  • Monitor Resource Utilization
  • Query Optimization and Optimization Properties
  • Query Optimization - Demo
  • Security Concepts in MongoDB
  • MongoDB Security

Learning objectives

List the types of API Drivers, and how to integrate MongoDB with Node.js, Java, and Python through demos.


Topics

  • Various API drivers available for MongoDB
  • Integration with Node.js
  • Integration with Node.js - Demo
  • Integration with Java
  • Integration with Java - Demo
  • Integration with Python
  • Integration with Python - Demo

FAQs on MongoDB Developer Training

MongoDB Developer Training

The MongoDB Developer Training course has been thoughtfully designed to make you a skilled MongoDB developer ready to take on significant database management and full-stack development roles in top tech companies. At the end of the course, you will be able to:

  • Comprehend and translate business requirements into technical specifications and build elegant, efficient, and scalable solutions based on specifications
  • Implement appropriate indexes (B-Tree, Geospatial, Text) for performance improvement
  • Implement Mongo Management Service for automating a variety of tasks, including backup/recovery and performance management
  • Build insights into how to Recommend and implement best practices for Rest API integration framework/model
  • Develop MongoDB and API prototypes and proofs of concept  Implement optimal backup and recovery
  • Assist developers in detecting performance problems using MMS and Mongo Profiler
  • Build in-depth knowledge of modeling/architectural patterns, governance methodologies, and potential limitations within MongoDB
  • Evaluate, plan, and perform the DB Upgrades.

Our MongoDB course will give you the capability to lead a new project or a large data migration project utilizing MongoDB. The program takes you on a learning journey from the absolute basics and functions of MongoDB, all the way up to building your application using critical aspects of MongoDB such as sharing, replication, querying, backups, and more.

Yes, our MongoDB Developer Certification course is designed to give you flexibility to skill up as per your convenience. We have both weekday and weekend batches to accommodate your current job and have interesting projects that will keep you practicing as you learn. The course is delivered both in a Blended Learning and Self-Paced mode so that you can balance your work and learning as per your schedule. 

In addition to training hours, we recommend spending about 2 hours per day every day of the training, to study, practice and achieve optimal benefits from the course.

With the learn by doing approach in our MongoDB Developer Certification course, you will acquire immediately applicable skills to take on significant roles as a MongoDB Developer, MongoDB Specialist, back-end developer and full-stack developer. 

The MongoDB Developer training is suitable for anyone interested in upskilling for developer roles like MongoDB Database Administrator, Mongo DB Developer, Specialist, Principal Database Engineer, and DBA Professional. Developers looking to strengthen their knowledge of MongoDB and even novices can undertake this training, provided prerequisites are met. 

Basic understanding of Java or any other programming language with knowledge of database concepts and a text editor such as ‘Vi’ is required.

Software Requirements:

System Requirements

  • Any workstation or laptop with at least 8 GB of RAM

Yes! Upon passing the MongoDB Developer Training, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

More than the certificate, however, you will get to showcase your newly acquired MongoDB skills by working on real-world projects and adding these to your portfolio. KnowledgeHut’s MongoDB Developer course is well-regarded by industry experts who contribute to our curriculum and use our tech programs to train their own teams.

Once you have mastered MongoDB, you can consider learning the following:

  • Node.js
  • MongoDB

Once you have mastered Mongo, you can consider learning the following and become a Full Stack Developer - MEAN Stack or MERN Stack:

  • React or Angular (UI)
  • Node JS (Middleware)
  • Express JS (Api Layer)

Try for Free is KnowledgeHut’s limited-period free trial offer. You get to sign up and experience learn-by-doing on PRISM, our immersive learning experience platform. All the features of the platform including on-demand videos, Cloud labs, auto-graded assessments, interactive eBooks, recall quizzes as well as advanced learner insights, will be available to you during the 14-day trial period.

MongoDB Workshop Experience

The MongoDB Developer workshop at KnowledgeHut is delivered through PRISM, our immersive learning experience platform, via two modes of delivery:

Blended learning:

  • Get the best of both worlds with live and interactive instructor-led training sessions along with the convenience and flexibility of self-paced learning.
  • Listen, learn, ask questions, and get all your doubts clarified from your instructor, who is an experienced practitioner.
  • You also get to collaborate and learn from the experience of your peers in real-world simulations and activities.

On-Demand Self-Learning:

  • Learn conveniently at your own pace, whenever and wherever you choose. Spend as much time as you need to on areas or topics that you find most difficult, pausing and replaying relevant segments of video as often as you need to. Benefit from the limitless educational possibility that comes with lifetime access. The entire courseware and all the features of our immersive learning experience platform will remain at your fingertips whenever you wish to refresh concepts and clear your doubts.

The MongoDB Developer Certification course is delivered by leading practitioners who bring current best practices and case studies from their experience to the live and interactive training sessions. The instructors are industry-recognized experts with more than 10 years of experience in MongoDB and database management.

Not only will they impart knowledge of the fundamentals and advanced concepts, but they will also provide end-to-end mentorship and hands-on guidance on the real-world projects.

Our workshops are structured in three parts – pre-workshop, workshop and post-workshop – to provide you with a completely immersive learning experience. This tried and tested workshop structure has worked well with thousands of engineers we’ve helped upskill over the years.

  1. Pre-workshop: Take our diagnostic assessment before the workshop and benchmark your skill levels at the start of the course. This allows you to map and demonstrate your skills learning progression as you reach the end of the course.
  2. Workshop: Join the live and interactive instructor-led sessions right from within PRISM, our immersive learning experience platform with a state-of-the-art intelligent coding environment. Experience immersive learning with cloud labs, guided hands-on exercises, assignments, auto-graded assessments, recall quizzes, real-world projects and much more.
  3. Post-workshop: We don’t just impart skills but also want to make sure that you implement them post the course. To help you with this, we are always in touch with you through newsletters, webinars or next version trainings. Some post-training deliverables lined-up for you are:
    • Project assistance with mentorship
    • Access to alumni network
    • Continued social learning with discussion forums, group messenger and one-to-one messaging.
    • Additional workshops on advanced level concepts
    • Regular emails, blogs, articles, emails, newsletters, tutorials and other such rich informational content. 

A unique feature of our MongoDB Developer Certification course is the highly engaging, immersive learning you experience. You get to learn, practice, assess, get insights on your learning, and personalize your learning journey.

LEARN: Engaging self-learning videos, smart flashcards, interactive eBooks and recall quizzes help reinforce your learning. You also get to maximize your learning potential with collaborative social learning via discussion forums and group and one-to-one messaging.

PRACTICE: Access our Playground Labs during and after the course. Guided hands-on exercises will help you gain confidence and get productive from day one.

ASSESS: Assess your skills at every stage with a variety of questions ranging from multiple choice to code-based, completely auto-graded by the system. Assignments and projects within our inbuilt and intelligent development environment give you micro “work-like” experiences. Test your subject matter comprehension through diagnostic, module level and final assessments.

GET INSIGHTS: Based on your performance in the assessments, assignments, and projects, you gain deep insights on your progress, which help you identify areas you are good at and where you need to improve. All you need to do is follow recommendations and enhance your skill proficiency from where you are to where you want to get.

PRISM is KnowledgeHut’s state-of-the-art learning experience platform. PRISM is designed to provide a highly engaging, immersive learning experience with you at the center of the learning.

PRISM supports all types of courses, including on-demand self-paced learning, blended learning, and live virtual classes. Here are some key features of the platform:

  1. Learners can watch videos, join live sessions directly, and even book 1 - 1 mentoring sessions with expert instructors easily, using a single dashboard.
  2. Integrated Practice Environment runs directly in the user’s browser, offering a complete set of development tools to allow learners to practice what they’ve learned. 
  3. Feature-rich videos with detailed explanations are augmented by flash cards, interactive e-reading content and quick recall quizzes designed to strategically reinforce learning. 
  4. Diagnostic, module-level and final assessments give learners valuable insights, allowing them to map and demonstrate their skills learning progression through the course.
  5. Learners get micro work-like experiences from auto-graded projects that help them learn on the job, much like developers in leading tech companies. 
  6. Social Learning tools include a discussion board that features questions posted by other learners on the system and responses by both mentors and learners. Additionally, one-to-one and group messaging is also available. 
  7. Comprehensive reports give both organizations and learners a deep and thorough insight into skills progression. 

Our MongoDB Developer workshops are currently held online and anyone with a stable internet from anywhere across the world can benefit from this to skill up in MongoDB.

Schedules for our upcoming workshops in Web Development Using MongoDB can be found here.

Yes, Cloud/Practice Labs in a preconfigured development editor inbuilt into your learning space will be available for your guided hands-on exercises, assignments and practice during and post the MongoDB Developer training.

The playground labs are low-friction sandbox environments, offering the ability to get started without any installations in your local system. We have tried hard to ensure that practice labs simulate the developer experience. These in-browser solutions feature environments for working with all kinds of platforms including operating systems, coding languages, and more.

The goal is to provide you with sandbox environments where you can feel free to run any command and experiment without the guidelines of a typical lab. The end goal is to increase the amount of practical, real-world experience you gain to get you completely work-ready on course completion.

You will be granted 200 to 300 hours of access to the Cloud labs where you can perform all your assignments and projects including the capstone project.

Post the training, you will retain access to the platform, the learning material and any unutilized hours on the Cloud labs. The entire courseware and all the features of the platform, along with the unutilized hours will be available to you for life.

Should you need additional hours of practice on the Cloud labs, these will be available for purchase as well.

We currently use the Zoom platform for video conferencing and will soon be adding more integrations like Webex and Microsoft Teams. However, all the sessions and the recordings will be available right from within our learning platform. Learners will receive instructions through PRISM notifications and will not need to wait for any external notifications or links.

You will receive a registration link from PRISM to your e-mail id. You will have to set your password, log in to our Immersive Learning Experience platform and start your learning journey.

Yes, there are other participants who actively participate in the class remotely.  They can attend online training from office, home, or any other suitable place.

In case of any queries, our support team is available to you 24/7 via the Help and Support section on PRISM. You can also reach out to your workshop manager on your workshop group messenger.

If you miss a class, you can access the class recordings from PRISM at any time. At the beginning of every session, there will also be a 10-12 minute recapitulation of the previous class.

Unlimited number of attempts are permitted for quizzes. Assignments can be retaken for the specified number of attempts.

Should you have any more questions, please raise a ticket on PRISM or email us on support@knowledgehut.com and we will be happy to get back to you.

MongoDB Certification and Training - Additional FAQs

More on MongoDB Training

MongoDB and Cassandra are both “NoSQL” databases, but they vary significantly. Here, we discuss some of the differences that can help to choose either of the two databases according to specific requirements.

  • Data model:

MongoDB: The data model of MongoDB is object-oriented, and the objects and properties can be nested at multiple levels hence giving an expressive data model that can be used to represent any object.

Cassandra: The data model is similar to the traditional model with rows and columns with the data represented in a structured way.

In comparison to Cassandra, MongoDB provides a rich data model.

  • Secondary indexes:

MongoDB: It is easy to index any property of the data because the secondary indexes are the first-class construct in MongoDB. This makes it easier to query even if the objects are nested.

Cassandra: It provides only cursory support for secondary indexes which are again limited to single columns. Cassandra is a good choice if you want to query using a primary key.

  • Query language support

MongoDB: It currently has no support for the query language. MongoDB has a Javascript shell and it stores records as documents in JSON format.

Cassandra: It is similar to the relational database but is column oriented. It also provides JSON support, but it has its own query language called CQL which is similar to SQL.

Therefore, Cassandra is a better fit if you require a query support language.

  • Scalability

MongoDB: It supports a single master node model which only accepts writes on the primary server. The secondary servers are used for reads only. This limits the scalability.

Cassandra: It has multiple master nodes and hence it can take writes on any server.

Therefore, Cassandra is more scalable than MongoDB.

The latest version of MongoDB is 4.2 that was released on August 13, 2019. The latest minor release version is 4.2.7 that was released on May 26, 2020.

MongoDB Inc. is an American software company that was first established in New York in the year 2007 as 10gen, and the founders of this company are Kevin P. Ryan, Eliot Horowitz, and Dwight Merriman. MongoDB is a NoSQL based open-source database.

MongoDB is an open source database platform which uses JSON like documents and is a NoSQL database program. Here is why you should learn it in 2020: 

  • It provides a flexible schema design.
  • If you have some commands over JSON, then that knowledge will help you to learn MongoDB easily.
  • MongoDB can run over multiple servers and provides load balancing.
  • It is open source and hence free to use.
  • It is flexible which means you can use new data structures when you want.
  • It provides a serverless platform called Stitch that eliminates the need for web hosting and application services.

The intention of the MongoDB Inc. company was to build a completely open-source platform as a service. The company was formerly known as 10gen and the platform it was working on was named Babble, but it didn’t have a great market value. So, both the users and non-users decided to use the database created by the company to use it on its own. The database was named as MongoDB where Mongo is short for the word humongous. MongoDB was released as an open-source database platform in 2009. 

You can get certification and training in MongoDB through MongoDB University. Many companies like Amazon, eBay, Cisco, and Disney are turning to NoSQL databases. Therefore, a certification in MongoDB can help you stand apart from the rest. Currently, the company offers two tracks mentioned below:

Database Administrators or DBAs: They deal with managing MongoDB that includes runtime configurations, sharding, processes, backup, recovery, monitoring, and performance tuning. The target audience includes professionals with some experience in administering in this database environment. Some of the prerequisites include:

  • Server application
  • Application administration
  • CRUD operations
  • Sharding
  • Indexing
  • Basic JAVA programming skills

Database developers: They are developers with knowledge of one or more programming languages. It only has an Associate level credential. The target audience includes software engineers with some professional experience in developing applications built on MongoDB and knowledge of database concepts, JavaScript, and system programming. The topics listed for the developer exam includes:

  • CRUD operations
  • Sharding
  • Aggregation and replication
  • Data modelling
  • Indexing
  • Features and basics of MongoDB

The exams cost $150 each and are conducted online through the company’s proctoring partner, Examity. It is a 90 minutes long exam and there is no penalty for incorrect answers. There are three levels of certifications defined for each role: Associate, Professional, and Master but currently, only the Associate level is available for each role.

MongoDB and SQL vary in the way they handle data.

SQL is a Relational Database Management System language. The data is stored in tables. The SQL Server uses an RDBMS based storage model. It does not provide Agile practices and has a fixed data schema. It has vertical scalability hence increases RAM. SQL provides secondary indexing. It also provides XML support and is licensed hence is not open source. You can merge data from multiple tables using joins, which is not available in MongoDB. SQL supports global transactions. It emphasizes ACID properties, that is, Atomicity, Consistency, Isolation, and Durability.

MongoDB is a non-relational database that supports the JSON query language. It uses MongoDB query language for access. It is faster and more scalable than SQL. It is not a table base rather; it is based on collections and key-value pairs. It does not provide support for foreign keys and triggers. MongoDB provides a dynamic data schema. It has no provision for joins and does not support XML. It is open source, so it is free to use. MongoDB supports Agile practices. It is the best-fit for hierarchical data storage and is horizontally scalable therefore adding more servers. It supports a huge amount of data as compared with SQL. MongoDB is based on CAP theorem that is, Consistency, Availability, and Partition tolerance.

MongoDB is a NoSQL database that stores the database in the form of JSON documents. We start by installing MongoDB on our PC. There are several variants based on development needs. These variants are as follows:

  • MongoDB Atlas
  • Community server
  • MongoDB Enterprise Edition

All three are compatible with every operating system. You must first download the installation files according to your operating system. The installation methods for different operating systems are different. Here, we discuss the installation method in Windows and macOS.

Installation in Windows:

You must download an executable .msi package for installing MongoDB into Windows. Execute the following commands for installation:

> cd /setup-folder/
> msiexec.exe /q /i .msi ^
INSTALLLOCATION=”C:\Program Files\MongoDB\”
ADDLOCAL=”MonitoringTools,ImportExportTools,MiscellaneousTools”

These commands will take you to the specified directory. After installation, you need to configure the default database storage path for MongoDB using the following command:

> md \db\data

Installing in macOS:

Download the .tgz file which contains the necessary binaries. Unarchive the files, you can see a collection of binaries located in the bin folder. Move the bin folder to the required location. Open the directory and change the directory to the bin directory. Execute the following command to create a database in that location:

$ ./mongod --dbpath /path-to-desired-directory/

In this command, you must replace the directory path with the desired path and the server will be started when this command is executed.

Creating the first collection: The data is stored in the form of JSON documents which is collectively termed as collections. These collections are analogous to tables in RDBMS and the documents are analogous to records. In order to create a collection, we must first create a database and connect it to a command line. You need to execute the following command:

$ ./bin/mongo tutorial

This command will connect to the tutorial database and start the database simultaneously. You can notice some lines in the log to specify that the command line is connected to the database.

Execute the following command to create a collection:

$ > db.createCollection(‘Collection Name”);

This creates an empty collection. We will insert data into this collection and perform some operations in this data.

It depends on two factors: the knowledge and skills you already possess and how deep you desire to get into this. If you are a good developer and have some experience in working with similar applications, install MongoDB and start from basics like import/export commands. If you have some hands-on experience with JSON, it will be an added benefit.

There are many resources available online to help you get started with MongoDB.

  • Online education courses: KnowledgeHut has launched online classes and they keep on updating it regularly. They offer 20 Hours of Instructor-led Training where you can learn basic to advanced development knowledge of MongoDB features and functionalities.
  • You can refer to the following link:  https://www.knowledgehut.com/web-development/mongodb-developer-course
  • You can also start with gaining some knowledge in Javascript, later going with C++ and JSON.

MongoDB is one of the top NoSQL databases which has been the most important factor for its popularity. Some of the reasons why MongoDB is so popular are as follows:

  1. It is schemaless and hence flexible. It is a document-oriented database that can hold different sizes and types of documents.
  2. It is open-source and very easy to install and work with.
  3. No complex joins are needed because the data structuring is based on key-value pairs.
  4. With the growth of MEAN stack development, MongoDB like databases became more popular since the JavaScript developers can work from the front-end to the database.
  5. MongoDB can handle large volumes of data by offering excellent analytics capabilities.
  6. It has a very flexible data model and it is very convenient to add or change the fields.
  7. It provides an easier way of load balancing.
  8. It uses internal memory for storage and hence provides faster access to data.
  9. MongoDB has an efficient scale-out architecture.
  10. It supports dynamic queries on documents.
  11. It is easy to scale.
  12. It supports Agile sprints and quicker iteration.
  13. MongoDB supports sharding due to which makes it horizontally scalable thus adding more servers.
  14. It is the best choice for hierarchical data storage.

MySQL is a Relational Database Management System that stores data in tables, and it uses SQL to access data from the database. On the other hand, MongoDB is a NoSQL database that stores data in the form of JSON documents and it uses MQL (MongoDB Query Language) to access data.

 The main differences between the two are as follows:

  • Performance and speed

MongoDB can handle a large amount of unstructured data as compared to MySQL. The flexibility MongoDB offers with JSON documents makes it faster for development processes as compared to rigid rows and columns in MySQL. It makes it easier for the developers to optimize the query performance since the data is stored in a single document and is not distributed over a relational database. Data can be structured within arrays and subdocuments in the same way as data is represented in applications unlike the tabular arrangement of rows and columns in MySQL.

  • Schema model

The schema design in MongoDB is very flexible. You can add documents in any collection without establishing any relationship with other documents just by just considering supported data structures. The schema model in MySQL is not dynamic and you need to store data in predefined tables that make it rigid.

  • Scalability

MongoDB supports sharding data across multiple nodes which facilitates load balancing. MongoDB is horizontally scalable and hence facilitates adding a greater number of servers. You need not make application-level changes in order to migrate data to larger servers. Whereas, you need to be careful while using JOINs in MySQL in order to distribute data over multiple nodes.

  • Higher availability

MongoDB can automatically detect failures in case your database goes down. It elects a new primary node and replaces the malfunctioning node with the new node and normal operation is resumed within a few seconds. This is a manual process in the case of MySQL and therefore takes a longer time. Replication of data in MongoDB makes the data easily available for developers.

  • MongoDB is an open-source, non-relational database management system that uses JSON documents to store data whereas PostgreSQL is a relational database management system that stores data in tables and uses both static and dynamic schemas to store and use data.
  • If you require to distribute a large volume of data over multiple data, then MongoDB is a better choice since PostgreSQL uses monolithic data architecture.
  • In the case of PostgreSQL, you need to predefine the tables, but MongoDB allows you to manage data of any type and structure.
  • In MongoDB, data is accessed through documents whereas, in the case of PostgreSQL, data is accessed through rows.

MongoDB is a document-oriented NoSQL database that can handle large volumes of data and is written in C++. The data is stored in JSON-like documents which makes it very flexible as you can add different kinds of fields and structures. The documents can be accessed using key-value pairs. MongoDB offers many features that make it easy to use. The data is stored in documents that are stored in collections. The documents can be of different sizes and different kinds of contents can be added.

MongoDB provides replica sets that ensure higher availability. This also ensures to automatically replace a failed primary replica with a secondary replica. It is highly distributed and provides horizontal scaling thus facilitates adding more servers. It splits data over multiple instances. This is also called sharding and is a very important feature of MongoDB.

MongoDB is an open-source document-based database written in C++ and can handle a large volume of data with a dynamic schema. There are many reasons why MongoDB is a great choice as a database, some of which are as follows:

  • Higher data scalability
  • Easy data migration
  • Rapid iterative development
  • Scale-out architecture
  • Document-based database that allows variation in the structure and size of documents stored.
  • Increased performance since data can be searched and indexed easily in Binary JSON format (BSON).
  • MongoDB can be used from a variety of programming languages like C, Java, JavaScript, Perl, Python, .NET, Ruby, Scala, C++, and C#.
  • MongoDB supports database transactions.

MongoDB is the best choice when your data is unstructured and complex, and you have a dynamic schema. MongoDB is a good choice for the following applications:

  • Blogs and content management.
  • Reducing the data migration cost.
  • Fast and instant data recovery.
  • If most of your services are cloud-based.
  • Social networking sites.

MongoDB is easy to learn. The best part is that the company has provided many tutorials on its website. There are a lot of community forums and groups available to discuss your issues. You can also get a certification at a reasonable cost that will help you boost up your profile. The popularity of MongoDB has made it an ideal criterion for recruiters. It is also easy to learn since you can apply your prior knowledge and experience to learn MongoDB. Like, if you are familiar with JSON, you need not learn SQL. Knowledge of programming languages is an added benefit. 

The top features of MongoDB are as follows:

  • Aggregation framework
  • Document oriented
  • Load balancing
  • Easy and fast replication
  • Data availability
  • MongoDB ad-hoc queries
  • MongoDB sharding
  • Schemaless database
  • Dynamic data size and structures
  • Supports multiple storages engines
  • Geospatial indexing
  • Tracking of data services using MongoDB Management Services.

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