• Live sessions
  • Practice-based learning
  • 100% job assistance

Highlights of Our MongoDB Course

  • Industry-specific curriculum
  • Quizzes to help you practice
  • Globally recognized certifications
  • Real-time sessions
  • Learning at your speed
  • Help with Job Searching

What will you learn in this MongoDB Course?

This MongoDB course will teach you how to use MongoDB's data analytics capabilities. You'll learn about MongoDB's Document data model, how to import data into a cluster, and how to use the CRUD API and the Aggregation Framework.

  • Learn the fundamentals of Mongo to build Mongo-based apps.
  • Learn about MongoDB's data storage.
  • Understand how to create a NoSQL schema.
  • Learn about MongoDB's handy tools and services.
  • Learn how to use Mongo, Node, and Mocha in a modern development platform.

Structure of Our Educational Program

Take a course

To get started, participate in a MongoDB full course and you'll be enrolled in the specialization right away. To maintain track of your course registrations and progress, go to your learner dashboard.

Experiential learning

Every specialization includes a hands-on project. You must finish both the coursework and the projects to learn MongoDB from scratch and acquire your certificate.

Obtain a certificate

We will provide you with a MongoDB online course completion certificate that you may include in the Certifications category of your Linkedin, as well as on printed resumes, CVs, and other papers.

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Have a Look at the MongoDB Course in a Nutshell

MongoDB is a document-oriented data store that is simple to set up and scales well as your app expands. Its schema-free nature enables more flexibility and adaptability to change application requirements. In terms of developer productivity, it's one of the greatest databases available. You can participate in a top-ranked Mongodb course in Gurgaon to obtain the necessary understanding of the technology.

What is MongoDB, and why is it useful?

MongoDB is a form of NoSQL database that is document-oriented. It is based on a scale-out architecture, which has grown popular among developers of all types for building scalable systems with changing data schemas. MongoDB is a document database that makes storing organized and unstructured data simple for developers. To store documents, it uses a JSON-like structure. You can enroll in a MongoDB crash course or a full-time course to pursue a career in the field.

What are the key characteristics of MongoDB?

MongoDB is a cloud-ready, general-purpose document database. Its scale-out architecture lets you add more nodes to distribute the load as your system's demand grows. Let's look at some of MongoDB's most important technological features:

1. Ad-hoc searches

It is hard to anticipate all of the queries, which will be performed by end-users when constructing a database structure. A one-time command that is measured by the value of a variable is known as an ad hoc query. The result of an ad hoc query may differ each time it is run, depending on the factors involved.

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Student Review

Pooja April 05, 2021

I'm new to the IT field, therefore I'm looking forward to learning MongoDB and pursuing a career in it. My Learning Course has put in a lot of effort. It is appreciated. Thank you so much for everything.

Pooja April 05, 2021

My Learning Course is a fantastic place to study for both beginners and professionals. The instructor was flexible and knowledgeable. He not only taught the lesson, but he also provided valuable information on current market trends. 

Pooja April 05, 2021

I recently finished an online MongoDB training with My Learning Course. The material and thorough explanations of sharding and data modeling have left me extremely impressed.

Pooja April 05, 2021

The material in this course is excellent. The topics were thoroughly covered and explained with relevant examples, which greatly aided in better understanding MongoDB.

Pooja April 05, 2021

I recently enrolled in My Learning Course to learn MongoDB. It's a fantastic experience. The instructor is very well, and the hands-on exercises are instructive. Thank you to the entire team at My Learning Course.

2. Indexing

The most prevalent issue that much technical support staff fails to address is indexing. Indexes are created to enhance the performance and search speed. Inability to correctly define appropriate indexes can lead to various accessibility difficulties, such as query processing and load balancing errors.

Simple to Read
Simple to Read

3. Replication

Your data is subject to many failures when you keep it in a single database, such as server failures, disruption of services, or even malfunctioning. Each of these events would make accessing your data nearly impossible. Replication helps you minimize these dangers by allowing you to set up additional servers in case of a disaster and backup.

4. Sharding

Sharding is the technique to divide larger datasets into many distributed collections, or "shards". Sharding aids the database in distributing and better executing queries that would otherwise be troublesome when dealing with large datasets. Scaling a huge online application with millions of daily visitors is practically difficult without sharding.

Simple to Read
Simple to Read

5. Load Balancing

The OSI has approved Python's open-source license. It's free to download and use. You can download the source code, modify it, and even share your Python version with others. Companies who want to tweak a specific behavior and make their version will find this useful.

Our MongoDB Course's Syllabus

My Learning Course

We provide the best MongoDB course in Noida, with a syllabus designed by experts to help you become an expert. The following is a list of the topics covered in our MongoDB Course.

  • Overview of MongoDB
  • Architecture and Installation
  • Understanding the basic concepts of a Database
  • Types of NoSQL Database
  • Design Goals for MongoDB Server and Database
  • MongoDB tools
  • Data Modeling Concepts
  • The Analogy between RDBMS & MongoDB Data Model
  • MongoDB Data Model (Embedding & Linking)
  • Challenges for Data Modeling in MongoDB
  • Model Relationships between Documents
  • Model Tree Structures
  • Model Specific Application Contexts
  • MongoDB Development Architecture
  • MongoDB Production Architecture
  • MongoDB CRUD Concepts
  • MongoDB CRUD Concerns (Read & Write Operations)
  • Cursor Query Optimizations
  • Query Behavior in MongoDB
  • MongoDB Data Types
  • MongoDB CRUD Syntax & Queries
  • Overview of MongoDB Cloud products
  • Introduction to MongoDB Stitch
  • MongoDB Cloud Atlas
  • MongoDB Cloud Manager
  • Working with MongoDB Ops Manager
  • Administration concepts in MongoDB
  • Monitoring issues related to database
  • Monitoring tools related to MongoDB
  • Backup and Recovery Methods for MongoDB
  • Data exports and imports to and from MongoDB
  • Run time configuration of MongoDB
  • Production notes/ best practices
  • Data Management in MongoDB
  • Introduction to Replication
  • What is Replica Set and Master-Slave Replication?
  • Type of Replication in MongoDB
  • Introduction to Sharding
  • How to set up a Sharding
  • Type of Sharding and Managing Shards
  • Security Introduction
  • Security Concepts
  • Integration of MongoDB with Jaspersoft
  • Integration of MongoDB with Pentaho
  • Integration of MongoDB with Hadoop/Hive
  • Integration of MongoDB with Java
  • Integration of MongoDB with GUI Tool Robomongo
  • MongoDB Package Components
  • Configuration File Options
  • MongoDB Limits and Thresholds
  • MongoDB Monitoring Service
  • HTTP and Rest Interface
  • Data migration and integration of MongoDB with Hadoop
  • MongoDB Diagnostic Tools
  • Diagnostics Commands
  • MongoDB Deployment
  • Setup & Configuration, Scalability, Management & Security
  • Slow Queries
  • Connectivity
  • Index Introduction, Index Types, Index Properties
  • Index Creation and Indexing Reference
  • Introduction to Aggregation
  • Approach to Aggregation
  • Types of Aggregation
  • Performance Tuning

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What are the Benefits of Utilizing MongoDB?

Whether or not to utilize MongoDB. Picking the right database is crucial when it comes to designing a product. That's why you need to understand the benefits of utilizing MongoDB before deciding whether it's the proper tool for the task. MongoDB's most important benefits are listed here.

Versatility

MongoDB's schema-less or non-relational data structure is one of its distinguishing qualities as a Non-Structured Query Language database. It gives you a lot of flexibility in storing and retrieving different data types.

Simple to Read
Simple to Read

Accessibility

MongoDB supports all popular programming languages and several community-supported drivers for lesser-known languages. It may be hosted on its cloud service, MongoDB Atlas, and comes in two flavors: open source and enterprise.

Scaling

Another benefit of MongoDB is the ability to scale horizontally using sharding. Because stored data isn't structured vertically, you can spread it across numerous commodity servers and easily add more as needed.

Simple to Read
Simple to Read

Flexibility

MongoDB's non-relational horizontal scaling offers a great deal of operational freedom. As a result, it is a good place to try out new, unusual content models. It's also useful for those that need to change their content requirements frequently.

Speed

MongoDB's performance is connected to horizontal scaling.It's query key submission method is simpler than SQL because it doesn't involve setting a schema. Simply index a set of data you want to obtain, and MongoDB will retrieve it.

Simple to Read
Simple to Read

Who can Participate in MongoDB Courses?

Professionals interested in a career in NoSQL databases or MongoDB can take the course to learn MongoDB. Those interested in taking the MongoDB training should be familiar with any programming language, as well as any database, SQL, and query language. It's also a plus if you know how to work with Linux systems. We offer the best MongoDB course in Delhi so you can get the skills you need to advance your profession.

  • Database administrators
  • Database architects
  • Software developers
  • Software architects
  • Project managers

Why should you Learn MongoDB from Us?

My Learning Course is an excellent place to start if you want to join the best MongoDB courses available online. Our MongoDB course will provide a fundamental understanding of MongoDB and some basic principles. You will be taught what NoSQL is in this course, which will help them comprehend MongoDB and its specifics.

  • You can rearrange timelines to fit your timetable.
  • You can get started right away and learn at your own pace.
  • You will get case studies from real-life situations.
  • You will be given projects based on the industry.
  • You will receive a certificate upon course completion.
Simple to Read

Job Opportunities in the MongoDB Field

MongoDB has a bright future since the volume of data generated every day is growing, necessitating a system for managing performance in the face of this growth. MongoDB certification will help you achieve your career goals in terms of pay and growth. MongoDB pays an average of INR 18.3 lakhs per year. Last year, MongoDB was the most popular skill on LinkedIn. As a result, having a MongoDB skill will be advantageous. 

Frequently Asked Questions (FAQs)

The MongoDB course will teach you how to use the world's most popular document-oriented NoSQL database built for scalability, speed, and developer agility. Through case studies, you'll learn MongoDB architecture, Data Modeling, CRUD, Schema Design, and indexing. You'll also learn how to set up, administer, and evaluate the MongoDB deployments using MongoDB cloud offerings.

This MongoDB course has no prerequisites. Knowledge of any common programming language, like Java, as well as a fundamental understanding of database concepts and a text editor, would be advantageous.

PyMongo, MongoDB's native Python driver, has a team of Driver engineers dedicated to ensuring the driver meets the needs of the Python community. It ensures that MongoDB and Python are compatible.

MongoDB employs the MongoDB Query Language created by developers for easy usage. MQL and SQL syntax for typical database operations are compared in the documentation.

MongoDB beats MySQL when it comes to speed because it can handle massive amounts of unstructured data. It processes large amounts of unstructured data via slave replication and master replication, and it provides more flexibility than MySQL in terms of data kinds.

A MongoDB developer is in charge of database administration and is critical to the company's information flow. They have a thorough understanding of business requirements and can deliver effective solutions.