MongoDB Developer Training

Mongo DB for Developers Certification Course

  • 16 hours of live instructor-led training by coding experts
  • 29.5 hours of self-paced online learning with lifetime access
  • Hands-on with MQL (MongoDB Query Language)
  • Free subscription to upcoming batches as and when new industry updates are introduced
  • Learn through examples with comprehensive assessments (5 hours), practical assignments (2 hours)
  • Build a portfolio of projects with 1 live project of 2 hours; reviewed by experts
  • Get Free E-learning Access to 100+ courses

Learning Options

Online Self Learning (OSL)

  • Experience 29.5 hours of online self-paced learning
  • Gain lifetime access to courseware
  • Get 2.5 hours of coding practice, 1.5 hours of practical assignments to cover your bases
  • Master the course with 5+ hours of comprehensive assessment sessions
  • Get in-depth with 1 detailed live project reviewed by industry experts

Blended Learning (OSL + Live Interactive Online Training)

  • Experience blended learning with 16 hours of live sessions
  • Experience 29.5 hours of online self-paced learning & 2 hours of coding practice with hands-on exercises
  • Access over 1.5 hours of practical assignments to cover your bases
  • Master the course with over 5 hours of comprehensive assessment sessions
  • Experience with 1 detailed live project
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  • Level up your team's skills to meet demands
  • Future-proof your resources to changing market needs
  • Access and choose from all our learning solutions from the OSL and Blended Learning list
  • Create custom learning plans suited to specific skilling requirements
  • 1 detailed live project reviewed by industry experts
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One to One Training

  • Get a dedicated trainer
  • High quality interaction sessions
  • Get your questions answered for deeper understanding
  • Get personalized instructor support

Overview

MongoDB is among the fastest-growing database technologies today and is the leading NoSQL database among several industries. Gain hands-on expertise needed to become a competent MongoDB Developer, with our immersive workshop and online learning sessions. 

Our program is available in 2 formats, instructor-led live training for 16 hours and self-paced online learning for 29.5 hours. Both our modules offer over 2 hours of hands-on coding practice and 1.5 hours of practical assignments. We dive deeper than just theoretical and practical knowledge. Understand the what, why, and how of MongoDB with 5 hours of assessments. Cap your experience with 1 live project (2 hours) which will be reviewed by industry experts.

Benefits

MongoDB is popular worldwide because of its ability to create scalable applications, is cost-effective, and benefits organizations with better data management strategies. Our courseware is aligned with the current business needs and features exercises that will help you gain practical expertise.

To maximize your learning efforts, our courseware has been split into several modules. You will begin with the MongoDB architecture and will learn how to perform CRUD operations. The next modules cover the various functions that are provided by Mongo to achieve complex functionality such as aggregate functions, indexing, and more. The progressing modules include the more critical aspects of Mongo such as sharing, replication, querying, and backups, followed by MongoDB security.

Get ready to learn all these concepts through examples, in our hands-on, reason-based learning style. By the end of the course, you will get an in-depth understanding of working on a MongoDB database.

  • Learn critical aspects of MongoDB and use it to perform real-time analytics, data management, and other activities with the help of our blended learning experience. 
  • Be proficient with MongoDB features and functionalities, both in theory and practice.
  • Build your own application with MongoDB and understand Replication and Sharding, all in our 16-hour instructor-led course or 29.5-hour self-paced course.
  • Increase your earning potential and open doors to several new job opportunities like MongoDB Database Administrator, Mongo DB Developer/Specialist, Principal Database Engineer, etc.
  • Learn how to use Mongo to enhance your business.
  • Train your development team to leverage various features of Mongo for optimum output.
  • Create better data management strategies with cost-effective, scalable applications.
  • Incorporate disaster recovery and load balancing with practical learning on our integrated platform.

365 Days FREE Access to 100 e-Learning courses when you buy any course from us

What you will Learn

  • Why NoSQL is so powerful and what is MongoDB’s role in NoSQL Databases

  • What is a Client Server Architecture and what is MongoDB’s role in an N-Tiered Architecture

  • Understand the Logical and Physical Components of MongoDB Infrastructure

  • Master working with Collections and MongoDB Documents

  • Excel at performing CRUD Operations against huge data in a NoSQL Database

  • Explore the in-built functions in Mongo DB

  • Gain in-depth knowledge of MQL and work extensively with BSON data

  • Build Complex BI Reports and Analytics reports using Aggregation Framework

  • Master working with complex reads over a cluster

  • Easily work with Heavy read operations over a scalable Mongo DB Cluster

  • Working with various MongoDB Drivers and Platforms

  • Skills of Sorting, Indexing, Sharding, and Partitioning Data from a NoSQL Perspective

  • Effortlessly work on Query Optimizations and Import/Export Operations on MongoDB

  • Integrate MongoDB with NodeJS, Java, and Python frameworks

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

Who Should Attend

  • Those who want to master MongoDB
  • Those who aspire to build their careers working on NoSQL

Knowledgehut Experience

LEARN BY DOING

Immersive hands-on training with a combination of theoretical learning, practical exercises, group discussions, assignments, and intensive Q&A sessions.

MENTORED BY INDUSTRY EXPERTS

Get Mentored by Industry practitioners having more than 10 years of experience.

CODE REVIEW BY PROFESSIONALS

Get reviews and timely feedback on your assignments and projects from professional developers.

BUILD PROJECTS

We emphasize on learning the concepts through examples and help you in building a portfolio of projects through the course of training.

LIFETIME ENROLMENT

Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts.

LIVE & INTERACTIVE

Ask questions, get clarifications, and engage in discussions with instructors and other participants.

Become an expert by learning from the experts

Mongo DB eLearning is a web-based training that you can explore at your own pace. The courses are interactive and designed to help you learn Mongo DB, regardless of your skill level, and curated to the roles in your organization.

Videos and Readable Content

Learners get both conventional and video-based learning options to experience an immersive and effective learning environment.

Microlearning

Learn through small capsules, with bursts of training material that can be readily comprehended, including short videos, flashcards/summary cards, and so on

Learning Outcome Centric Content

Learning outcomes based on the knowledge/skills learners need to do their jobs better. 

Assignments and Projects

Get the best of learning with real-life scenario-based assignments and case studies. See the outcome of your skills and their application first-hand.

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.

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.

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

Hands-on: 

  • Creating Capped Collection
  • Creating collections in MongoDB

Learning Objectives:

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

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

Hands-on:

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

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.

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

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

Learning Objectives:

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

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 also get a basic understanding of security concepts in MongoDB.

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

Certification Process

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.

Project

Project

E-Commerce System with MongoDB

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Project

Twitter/Any Social Networking Site with MongoDB 

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Faq

The Course

MongoDB is a robust, flexible and scalable NoSQL database, factors that have made it extremely popular with organizations across sectors. Fortune 500 and Global 500 companies such as Disney, eBay and Facebook have adopted it for their social communications, analytics, content management, archiving and other activities. Our MongoDB course has been designed to help you learn the skills that will land you a job as a MongoDB developer. You will not only learn the basic and advanced concepts but will practically apply them to a project and get ready for the industry. The curriculum has been designed by industry experts who will make sure that you learn the skills that will help you on the job front.

According to statistics, MongoDB professionals can upto $266,629 on an average. This is more than enough reason for you to enrol in this course.

You will: 

  • Get basic to advanced knowledge of Development on MongoDB
  • Be proficient with MongoDB features and functionalities

By the end of the course, you will have:

  • Completed several hands-on examples, 2 course projects which gives you basic to immediate skills of MongoDB Development. 
  • Prepared yourself with the foundational knowledge you need to begin a career of continuous learning in MongoDB.

There are no restrictions but participants would benefit if they have elementary knowledge of any RDBMS, Core Java & Java Script.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are MongoDB experts who have years of industry experience.

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Once you register for the course you will be provided with system requirements and lab setup document which contains detailed information to prepare the environment for the course.

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