mongodb training

Learn Open Source Database queries with MongoDB

Kodelabs MongoDB course is designed for fresher students and professional who wants to explore not only MongoDB but the supreme relational database with multi-document ACID transactions support. At Kodelabs programme you will get a immense understanding of MongoDB basics, GUI, database schema required to create and spread a highly scalable and performance oriented databases for Enterprise applications.

Kodelabs is the right platform to help you for chasing your dream job in IT industry. This one course opens multiple Job opportunities like DBA Analyst, SQL Software Engineer, Database Specialist, Senior Database Associate etc.

You will learn and build application at the level of:

  • Data models and data access patterns that address common enterprise application use cases and functional business structures
  • This NoSQL database helps you learn how database flexibility and scalability works during Querying and indexing.
  • The world is on the border of an information overload, and huge database developers are necessary to store and manage the information. Kodelabs makes you learn benefits from MongoDB, which is as adaptable as it is effective and handle database load in terms of queries per second.

    Kodelabs MongoDB program cover the basics of:

  • Document-oriented database
  • NoSQL database
  • MongoDB architecture
  • CRUD, Schema design
  • Data Modelling and Indexing using real-life case studies
    • “ Many fortune companies like Cisco, ebay, Metlife have more than 900 MongoDB customers. According to Forbes report MongoDB – a $36 billion to a $40 billion market growing at 8% to 9% annually.”

    Free LMS subscription

    With Kodelabs LMS, Students will receive accurate hands-on experience using Course content and assignments weekly. We have genuine enterprise level Full Stack Web Development problem statements to give hands on coding in development labs. Every week LMS portal generates form of assignment for students and submission in relevant time period is recommended. You feel the difference in Development, Testing and Production environment and DevOps Software Cycles.

    Regularly students can interact with the respective Instructors for course specific problems and queries and regularly Instructors resolving the Full Stack Web Development queries within 24 hours response time.

    LMS provides weekly reports on the course modules completion and track the status of assignments pending. Kodelabs provides you real-time mobile notifications for announcements, leaves, courses missed and pending assignment and credits earned.

    On successful completion of Full Stack Web Development course, students will receive a course completion Certificate from Kodelabs School of Java Online plus Offline to publish in your CVs.

    No prerequisite for this course. A basic idea of Relational databases can be helpful

  • Students and freshers who looking to build a career in IT
  • Software Developers and Software Architects
  • IT developers, Testers and Analytics professionals


    MongoDB CLI | MongoDB Compass GUI


  • Scope of NoSQL in real world scenarios
  • Implementation of JSON/BSON Data Types
  • Perform CRUD Operations to design Schema
  • Learn about Data Management using MongoDB
  • Perform installation, configuration and maintenance of MongoDB environment
  • Database security risk and MongoDB Security Approach
  • Work with unstructured data like images, video and log data
  • Develop an expertise in writing Java and Node JS applications using MongoDB
  • Get hands-on experience in creating and managing different types of indexes in MongoDB for query execution
  • Develop skill sets in processing huge amounts of data using MongoDB tools
  • Proficiently store unstructured data in MongoDB
  • Gain proficiency in MongoDB configuration, backup methods as well as monitoring and operational strategies
    • 1. Introduction to MongoDB - Architecture and Installation
    • This module will cover the installation of MongoDB and associated tools, you will get an understanding of NoSQL databases, design goals, requirement of NoSQL/ MongoDB, and introduction to JSON and BSON among else.

        Topics Covered
      • • 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
    • 2. Schema Design and Data Modelling
    • You will understand about Schema Design and Data Modelling, various data structure and tools easy to manage Data Models in MongoDB.

        Topics Covered
      • • Data Modelling Concepts
      • • Why Data Modelling? Data Modelling Approach
      • • Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model
      • • 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
    • 3. CRUD Operations
    • You will get an understanding of CRUD operations and their functional usage, then how to perform Read/Write operation in CRUD operations.

        Topics Covered
      • • MongoDB Development Architecture
      • • MongoDB Production Architecture
      • • MongoDB CRUD Introduction, MongoDB CRUD Concepts
      • • MongoDB CRUD Concerns (Read & Write Operations) –
      • • MongoDB Datatypes
      • • MongoDB CRUD Syntax & Queries (Live Hands on)
    • 4. Indexing and Aggregation Framework
    • Understanding about the Indexing and Aggregation Framework in MongoDB

        Topics Covered
      • • 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.
    • 5. MongoDB Administration
    • Learn MongoDB administrative activities such as Backup,Performance tuning, Health Check, Recovery, Data Import/Export, etc.

        Topics Covered
      • • 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
    • 6. Scalability and Availability
    • you will understand the setup and configuration of MongoDB High Availability, Load Balancing, and Disaster Recovery.

        Topics Covered
      • • Introduction to Replication (High Availability)
      • • Concepts around Replication
      • • What is Replica Set and Master Slave Replication?
      • • 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.
    • 7.MongoDB Security
    • You will learn security related Integration with various tools and technology in MongoDB

        Topics Covered
      • • 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
    • Application Engineering and MongoDB Tools
    • This module will help you to understand the multiple package components and advance concepts connected to MongoDB integration.

        Topics Covered
      • • 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 on the Cloud
    • You will learn about different cloud products content by MongoDB and how they can be used to host or manage your MongoDB deployments.

        Topics Covered
      • • 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
    • Diagnostics and Fixes
    • You will learn some of the common real-time scenarios you might find in production and how they can be fixed, once identified.

        Topics Covered
      • • Overview of tools
      • • MongoDB Diagnostic Tools
      • • Diagnostics Commands
      • • MongoDB Deployment
      • • Setup & Configuration, Scalability, Management & Security
      • • Slow Queries
      • • Connectivity

    Benefits You Will Earn

    Register Now

  • MongoDB course material access on code repositories which are focused and up-to-date
  • Full source code of the prototype apps for reference material and practice
  • Focus on every student with definite batch size
  • 3 Months access to LMS courses packed with assignments, assessment test with Credit rating, and discussion forum to better practice
  • Fast track career oriented courses available with lowest fee structure at School of Java
  • Basic knowledge of Database is not sufficient. So we provide deep knowledge of NoSQL and SQL Database to clear IT MNCs technical interviews.
  • Experience full-time IT exposure dedicated to industry-leading practices like dev/test/prod environment
  • Working on real time projects
  • Our Kodelabs team regularly boosts you with latest technology practices and make you achieve your professional desires.

  • Tap for MongoDB Certification course to ensure success while entering doors to IT and MNCs companies


    Kodelabs sponsored MongoDB certificate of participation would be issued on successful completion of the course at School of Java.
    Kodelabs will provide complete assistance in qualifying MongoDB Certified exam.

    • MongoDB Certified Developer, Associate Level

    Note*: Complete course attended is mandatory to get the certificate.


  • Each module will contain practical assignments, which can be completed before going to next module that build better command on subjects.
  • Meet with mentors via Slack and Video Chats for any query
  • Our experts will guide students in implementing the technology for future projects
  • Assessment and code review by IT Expert
  • Query Session and back-up classes
  • There is a quiz session every week for testing your knowledge of all features of the MEAN stack
  • Hands on assignments weekly via LMS access
  • Live chat support
  • Follow a structured curriculum as per engineering syllabus and mapping with theoretical pattern of graduation and masters programme
  • Build and test your self-build MEAN applications
  • Register for the course Now

    Trainer’s Name

    Prashant Kumar

    Course Fee

    INR 25,000

    Available Seats



    Weekend 02.00 pm:5.00 pm

    Difficulty Level


    Course Duration

    2.5 Months


    Basic HTML, CSS

    Thousands of students are graduated and joined the Top MNCs. Why not you?

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