MongoDB Certification Training Course

BY
Edureka

Will help you to acquire a deep understanding of MongoDB Architecture, NoSQL database, Schema design, CRUD operations, and Data modelling.

Mode

Online

Duration

5 Weeks

Fees

₹ 16015 17795

Important Dates

28 Dec, 2024

Course Commencement Date

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

The Edureka MongoDB Certification Training enables you to gain expertise in the popular NoSQL databases. The course curriculum is strategically curated to cover all essential concepts concerning NoSQL and MongoDB. Through the training programme, you will develop an understanding of ingestion, data modelling, and Sharding, among other advanced concepts.  

Moreover, the MongoDB Certification Training programme will include real-life case studies, interactive videos, presentations, and PDFs to enhance the learning outcome. With Edureka, you receive lifetime access to the course material. Also, you will work on an industry-based project at the end of the certification programme. The project will allow you to implement the skills you learned throughout the course. 

The MongoDB Training Certification by Edureka will enable you to acquire all skills necessary to become a certified MongoDB Expert. As the course has an instructor-led training model, you will get the chance to interact with the instructors who are industry professionals with relevant field experience. The online sessions will also help you achieve fluency in multiple engineering, development, and administering skills.

The highlights

  • Instructor-led sessions
  • Course content access for life
  • Industry-based project
  • 24x7 support team
  • Community forum
  • Assignments for evaluation
  • MongoDB Expert certificate
  • Hands-on training

Program offerings

  • Instructor-led programme
  • Industry-based case studies
  • Mongodb expert certificate
  • Real-life project
  • A community forum for learners
  • 24x7 technical support

Course and certificate fees

Fees information
₹ 16,015  ₹17,795

The MongoDB Certification Training programme fee is made up of the course fee and applicable GST. You can opt for Edureka’s zero interest rate EMI plans or make a lump sum payment of the programme fee. Edureka also offers variable discounts on their programme fee from time to time. 

MongoDB Certification Training Fee Structure

HeadAmount
Original priceRs. 17,795
Discounted priceRs. 16,015

* No Cost EMI starts at Rs. 5,339 / month

certificate availability

Yes

certificate providing authority

Edureka

Who it is for

The MongoDB Certification Training online course can be beneficial for the following professionals:

  • Data Analytics and Visualization Engineer
  • Database Administrators
  • Web Developers 
  • Developers working on Cloud and other social technologies
  • Mobile Developers
  • Database Server Engineers
  • Application Engineers

Eligibility criteria

Eligibility Criteria

There are no prerequisites for taking the MongoDB Certification Training by Edureka. However, it will be beneficial if you have a fundamental understanding of a programming language (Java, preferably), database concepts, and a text editor (VI editor, preferably).

Certificate Qualifying Criteria

A live project will be assigned to you. Completing the project will let you earn the MongoDB Expert certificate by Edureka. You need to mail the project to the Edureka support team. A panel of industry experts will assess your project. Based on the project evaluation, a grade and a certificate will be awarded to you.

What you will learn

Knowledge of mongodb

Upon completion of the Edureka MongoDB Certification Training programme, you will acquire the following skills: 

  • In-depth knowledge of the MongoDB architecture, tools, server, and the overall MongoDB package
  • Proficiency in troubleshooting Performance tuning issues
  • Capability to understand Sharding for availability and scalability in MongoDB
  • Proficiency in the development and deployment of applications using various MongoDB tools
  • Understanding and using the Hadoop-MongoDB integration and integration of MongoDB with Pentaho, Robomongo, and other tools
  • Ability to perform MongoDB data migration
  • Performing management of the deployments of MongoDB using cloud products of MongoDB

The syllabus

Introduction to MongoDB - Architecture and Installation

Topics
  • Understanding the basic concepts of a Database
  • Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS 
  • Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property
  • CAP Theorem, implementing NoSQL and what is MongoDB? 
  • Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools
  • Understanding the following: Collection, Documents and Key/ Values, etc.,
  • Introduction to JSON and BSON documents
  • Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package
  • Case study discussion
Hands-on/Demo/Use-case
  • MongoDB Installation

Schema Design and Data Modelling

Topics
  • Data Modelling Concepts
  • Why Data Modelling? Data Modelling Approach
  • Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking)
  • Challenges for Data Modelling in MongoDB
  • Data Model Examples and Patterns
  • Model Relationships between Documents
  • Model Tree Structures 
  • Model Specific Application Contexts
  • Use Case discussion of Data modeling
Hands-on/Demo/Use-case
  • HR Data Modeling in RDBMS

CRUD Operations

Topics
  • MongoDB Development Architecture
  • MongoDB Production Architecture
  • MongoDB CRUD Introduction, MongoDB CRUD Concepts
  • MongoDB CRUD Concerns (Read & Write Operations) – 
  • Concern Levels, Journaling, etc., 
  • Cursor Query Optimizations, Query Behavior in MongoDB
  • Distributed Read & Write Queries
  • MongoDB Datatypes
  • MongoDB CRUD Syntax & Queries (Live Hands on)
Hands-on/Demo/Use-case
  • MongoDB CRUD Operation

Indexing and Aggregation Framework

Topics
  • Index Introduction, Index Concepts, Index Types, Index Properties 
  • Index Creation and Indexing Reference
  • Introduction to Aggregation 
  • Approach to Aggregation
  • Types of Aggregation (Pipeline, MapReduce & Single Purpose)
  • Performance Tuning.
Hands-on/Demo/Use-case
  • Work with Aggregations

MongoDB Administration

Topics
  • Administration concepts in MongoDB
  • Monitoring issues related to Database
  • Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB
  • Database Profiling, Locks, Memory Usage, No of connections, page fault etc.,
  • Backup and Recovery Methods for MongoDB
  • Export and Import of Data to and from MongoDB
  • Run time configuration of MongoDB
  • Production notes/ best practices
  • Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks.
Hands-on/Demo/Use-case
  • Import and Export MongoDB® Data

Scalability and Availability

Topics
  • Introduction to Replication (High Availability)
  • Concepts around Replication
  • What is Replica Set and Master Slave Replication? 
  • Type of Replication in MongoDB
  • How to setup a replicated cluster & managing replica sets etc., 
  • Introduction to Sharding (Horizontal Scaling), 
  • Concepts around Sharding, what is shards, Key, 
  • Config Server, Query Router etc. 
  • How to setup a Sharding,
  • Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.
Hands-on/Demo/Use-case
  • Replication setup
  • Set up Sharding

MongoDB Security

Topics
  • 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 
  • Case Study MongoDB and Java
Hands-on/Demo/Use-case
  • Integration Scenarios

Application Engineering and MongoDB Tools

Topics
  • MongoDB Package Components
  • Configuration File Options
  • MongoDB Limits and Thresholds
  • Connection String URI Format/ Integration of any compatible tool with MongoDB API and Drivers for MongoDB
  • MMS (MongoDB Monitoring Service)
  • HTTP and Rest Interface
  • Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive)
  • Integration with R
Hands-on/Demo/Use-case
  • MongoDB with R integration

MongoDB on the Cloud

Topics
  • Overview of MongoDB Cloud products
  • Using Cloud Manager to monitor MongoDB deployments
  • Introduction to MongoDB Stitch
  • MongoDB Cloud Atlas
  • MongoDB Cloud Manager
  • Working with MongoDB Ops Manager
Hands-on/Demo/Use-case
  • MongoDB Cloud Manager – exploring

Diagnostics and Fixes

Topics
  • Overview of tools
  • MongoDB Diagnostic Tools
  • Diagnostics Commands
  • MongoDB Deployment
  • Setup & Configuration, Scalability, Management & Security
  • Slow Queries
  • Connectivity
Hands-on/Demo/Use-case
  • Troubleshooting scenarios

Admission details

Follow these steps to enrol in the MongoDB Certification Training course by Edureka:
Step 1- Visit the website - https://www.edureka.co/

Step 2- Search for “MongoDB Certification Training”.

Step 3- Click on the “Enrol Now” tab at the bottom right side of the webpage.

Step 4- A registration form will appear. Enter your contact information like phone number and email address in the form.

Step 5- Now, select the batch from the already available weekend batch. You can also skip the batch selection.

Step 6- Finally, proceed for fee payment. Once the fee payment has been done, you must download the transaction receipt.


Filling the form

To join the Edureka MongoDB Certification Training programme, you need to enter your contact details in the application form. The details include your name, email ID, and phone number. After filling out the application form, select a batch of choice. Then you can proceed for the fee payment. After paying the fee, submit the form to enrol into the programme successfully.

How it helps

The MongoDB Certification Training will help you master the core concepts and techniques associated with MongoDB and NoSQL. The training course prepares you to become a successful MongoDB Professional. Your proficiency in various engineering and administration skills after the course will help you pursue a lucrative career as a MongoDB professional.

Besides, according to Forbes, the market value of MongoDB is expected to grow up to $40 billion at a rate of 9% annually. Also, MongoDB has a vast customer base which includes more than 25 Fortune 100 companies. These companies are eBay, MetLife, Cisco, and Salesforce, among others. So, taking the Edureka MongoDB Certification Training will positively impact your career; several job opportunities will open for you as a MongoDB Specialist. What’s more, the Edureka certificate will offer you an edge over other candidates. 

FAQs

Is MongoDB worth learning?

MongoDB has no schema design-related restrictions that allow you to drop files into collections. Also, you gain mastery in document-oriented databases, and it is relatively faster, more flexible, and scalable in comparison to other databases such as MySQL. 

How long can I learn MongoDB?

Practically speaking, the duration to learn MongoDB depends on the course you are following. The Edureka MongoDB Certification Training is a 5 weeks course. So, you can learn MongoDB and associated concepts in around 5 weeks with Edureka.

What is the course fee for the Edureka MongoDB Training and Certification?

The MongoDB Certification Training by Edureka is priced at Rs. 17,795. You can avail multiple discounts on the course fee and even pay the programme fee in instalments.

Is it necessary to know a programming language for learning MongoDB?

Although there are no specific prerequisites for taking the Edureka MongoDB Certification Training, it will be advantageous to have some understanding of a programming language such as Java.  

What is better- MySQL or MongoDB?

Both the databases have their respective pros and cons. But developers find MongoDB to be faster than MySQL. Besides, with MongoDB, you can handle large amounts of unstructured data and is thus, more sensitive to workload. 

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