Course Details

MongoDB Overview

MongoDB is a cross-platform, document oriented database that provides, high performance, high availability, and easy scalability. MongoDB works on concept of collection and document. The course covers a range of NoSQL and mongoDB topics such as CRUD Operations, Schema Design and Data Modelling, Scalability etc.

CourseMongoDB Training
Mode of Training Instructor Led Live Online Training
Duration 30 hours
Timings Flexible (Our Rep will work with you on the timings that suits your needs)
Course Material Our Expert Trainer will share you all the necessary course material,  ppts, videos and pdfs
Examples Trainer will cover Real time scenarios during the training
Interview Questions Click here to see the Interview Questions
Certification Click here to know about the MongoDB Certification.
Salary Trends Check here to see the salary trends here.


After the Completion of Course, you should be able to:

  • Troubleshoot Performance issues.
  • Learn MongoDB backup and Recovery options and Strategies.
  • How to setup a replicated cluster, Managing ReplicaSets etc.
  • Learn MongoDB Administration Activities.
  • Understand scalability and availability in MongoDB using Sharding.
  • Data Migration in MongoDB with Hadoop (MongoDB to Hive).
  • Health Check, Backup, Recovery, Performance tuning, etc.
  • Perform CRUD Operations to design Schemas.
  • Scope of NoSQL in real world scenarios.
  • Learn about Data Management using MongoDB.
  • MongoDB integration with Java, JasperSoft.
  • Database security risk and MongoDB Security Approach.
  • Gain an insight into the ‘Roles’ played by a mongoDB expert.
  • Integration of MongoDB with GUI Tool Robomongo.

The Following can attend this training, Students/Freshers who is having enthusiasm in learning MongoDB can attend this training.

  • Software Architect.
  • Database Professional.
  • Project Manager
  • Software Developer
  • DBA and
  • System Administrator.

  • There are no prerequisites for attending this mongoDB course. Having Minimum knowledge in Database Concepts can be helpful.

Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These MongoDB Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace.

On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process.

Classes are conducted by Certified MongoDB Working Professionals with 100 % Quality Assurance.

With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on MongoDB. Our training make you more productive with your MongoDB Online Tutorials. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects.

What we promise at TekSlate:

1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability.

2) We offer free online MongoDB Training demo session, students can attend the demo session, asses the trainer and then join the course.

3) We offer excellent MongoDB Online Training course material and also share project scenarios which are similar to what you work when you go to the corporate environment.

4) We share videos of each MongoDB Courses so that you can review them later as well. The videos developed by experts make it more easier for the learning professionals.

MongoDB Online Training Curriculum

Learning Objects:  In this module, you will learn about introduction of Databases, Requirement of NoSQL/MongoDB, Architecture of mongoDB etc. This Module will also cover installation of mongoDB and associated tools.

Topics include:Overview of MongoDB, Design Goals for MongoDB Server & Databases,  MongoDB Tools Collection and Documents, Introduction to JSON and BSON, Installation of Tools Bottle, Pymongo, Introduction to MongoDB, Installing MongoDB on Windows.

Learning Objects: In this session, we will learn about CRUD Operations and their functional usage. Read/write operations with CRUD.

Topics include: MongoDB Development Architecture, MongoDB Production Architecture, MongoDB CRUD Introduction, MongoDB CRUD Concepts, MongoDB CRUD Concerns (Read & Write Operations), Concern Levels, Journalling etc., Cursor, Query Optimizations, Query Behaviours in MongoDB, Distributed Read & Write Queries, MongoDB Datatypes, MongoDB CRUD Syntax & Queries (Live Hands on).

Learning Objects: In this module, you will learn Schema Design and Data Modelling in mongoDB. Various data structure and tools available to manage Data Model in MongoDB and also will learn how to use select in MongoDB

Topics include: Concept, Examples and Patterns, Model Relationships Between Documents, Model Tree Structures, Model Specific Application Contexts, Data Model Reference.

MongoDB Model Relationships between documents: Model One-to-One Relationships with Embedded Documents, Model One-to-Many Relationships with Embedded Documents, Model One-to-Many Relationships with Document References.

MongoDB Model Tree Structures: Model Tree Structures with Parent References, Model Tree Structures with Child References, Model Tree Structures with an Array of Ancestors, Model Tree Structures with Materialized Paths, Model Tree Structures with Nested Sets, Model Specific Application Contexts.

Learning Objects: In this session we will learn about MongoDB Administration activities and will train you how to monitor database related issues and servers, Concepts like the backup and recovery methods for MongoDB, Production Notes.

Topics include: Administration Concept in MongoDB, Health Check of MongoDB Database, Monitoring of Various issues related with 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/Bets Practices, Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks.

Learning Objects: In this module, you will understand the setup and configuration of mongoDB High Availability, Disaster Recovery and Load Balancing.

Topics include: Introduction to Replication (High Availability), Concepts around Replication, What is ReplicaSet and Master Slave Replication? Type of Replication in MongoDB, How to setup a replicated cluster, Managing ReplicaSets etc., Introduction to Sharding (Horizontal Scaling), Concepts around Sharding, What is shards, Key, ConfigServer, Query Router etc.? How to setup a Sharding, Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.

Learning Objects: In this session, you will learn the Indexing and Aggregation Framework in mongoDB.

Topics include: Indexes: Introduction, Concepts, Index Types, Index Properties, Index Creation Aggregation: Introduction, Concepts, Map-Reduce, Aggregation Examples.

Learning Objects:  In this session, we will learn mongoDB tools to develop and deploy your applications. This module will also help you understand the multiple package components and advance concepts related with MongoDB integration, Hadoop and MongoDB integration.

Topics include:  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).

Learning Objects: In this module, we learn about Security concepts and integration of MongoDB with Jaspersoft, Pentaho, Java and a few GUI tools.

Topics include: Security Introduction, Security Concepts, Security Tutorials, Integration of MongoDB with Jaspersoft, Integration of MongoDB interface with Pentaho, Integration of MongoDB with Hadoop/Hive, Integration of MongoDB with Java, Integration of MongoDB with GUI Tool Robomongo, Project on MongoDB and Java.


Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Secondary index Mongo Online. Tekslate also verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Tekslate even after completion of MongoDB Training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.

You will work on real world MongoDB Courses wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, e-commerce, marketing, sales, high technology and so on.

Our Trainers will provide the Environment/Server Access to the  and we ensure practical real-time experience in MongoDB Projects by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Online MongoDB  Course Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available on the MongoDB Certification Cost if the participants are more than 2.

As we are one of the leading providers of Online training, We have customers from:

Online MongoDB Training in USA:

  • New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Jose, Austin, Jacksonville, San Francisco, Columbus, Indianapolis, Fort Worth, Charlotte, Seattle, Denver, El Paso, Washington, Boston, Detroit, Nashville, Memphis, Portland, Oklahoma City, Las Vegas, Louisville, Baltimore, Milwaukee, Albuquerque, Tucson, Fresno, Sacramento, Mesa, Kansas City, Atlanta, Long Beach, Colorado Springs, Raleigh, Miami, Virginia Beach, Omaha, Oakland, Minneapolis, Tulsa, Arlington, New Orleans, Wichita, Cleveland, Tampa, Bakersfield, Aurora, Honolulu, Anaheim, Santa Ana, Corpus Christi, Riverside, Lexington, St. Louis, Stockton, Pittsburgh, Saint Paul, Cincinnati, Anchorage, Henderson, Greensboro, Plano, Newark, Lincoln, Toledo, Orlando, Chula Vista, Irvine, Fort Wayne, Jersey City, Durham, St. Petersburg, Laredo, Buffalo, Madison, Lubbock, Chandler, Scottsdale, Glendale, Reno, Norfolk, Winston–Salem, North Las Vegas, Irving, Chesapeake, Gilbert, Hialeah, Garland, Fremont, Baton Rouge, Richmond, Boise, San Bernardino.

Popular cities of Canada, like:

  • Toronto, Montreal, Vancouver, Edmonton, Hamilton, Ottawa, Calgary, Ontario, Qubec etc

Online MongoDB Training in India:

  •  MongoDB Training in Hyderabad, Online MongoDB Training in Bangalore, pune, Delhi, Mumbai.

Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world


Database is a physical container for collections. Each database gets its own set of files on the file system. A single MongoDB server typically has multiple databases.


Collection is a group of MongoDB documents. It is the equivalent of an RDBMS table. A collection exists within a single database. Collections do not enforce a schema. Documents within a collection can have different fields. Typically, all documents in a collection are of similar or related purpose.


A document is a set of key-value pairs. Documents have dynamic schema. Dynamic schema means that documents in the same collection do not need to have the same set of fields or structure, and common fields in a collection’s documents may hold different types of data.

MongoDB Overview

Difference between MongoDB and RDMS

RDBMS is completely structured way of storing data. While the NoSQL is unstructured way of storing the data. And another main difference is that the amount of data stored mainly depends on the Physical memory of the system. While in the NoSQL you don’t have any such limits as you can scale the system horizontally.

“Extremely large datasets are often event based transactions that occur in chronological order. Examples are weblogs, shopping transactions, manufacturing data from assembly line devices, scientific data collections, etc. These types of data accumulate in large numbers every second and can take a RDBMS with all of its overhead to its knees. But for OLTP processing, nothing beats the combination of data quality and performance of a well designed RDBMS.”

NoSQL is a very broad term and typically is referred to as meaning “Not Only SQL.” The term is dropping out of favor in the non-RDBMS community. You’ll find that NoSQL database have few common characteristics. They can be roughly divided into a few categories:

key/value stores

Bigtable inspired databases (based on the Google Bigtable paper)
Dynamo inspired databases
distributed databases
document databases
This is a huge question, but it’s fairly well answered in this Survey of Distributed Databases.

MongoDB Storage Model

Written in C++, MongoDB uses a memory map file that directly map an on-disk data file to in-memory byte array where data access logic is implemented using pointer arithmetic. Each document collection is stored in one namespace file (which contains metadata information) as well as multiple extent data files (with an exponentially/doubling increasing size).

The data structure uses doubly-linked-list extensively. Each collection of data is organized in a linked list of extents each of which represents a contiguous disk space. Each extent points to a head/tail of another linked list of docs. Each doc contains a linked list to other documents as well as the actual data encoded in BSON format.

Data modification happens in place. In case the modification increases the size of record beyond its originally allocated space, the whole record will be moved to a bigger region with some extra padding bytes. The padding bytes is used as an growth buffer so that future expansion doesn’t necessary require moving the data again. The amount of padding is dynamically adjusted per collection based on its modification statistics. On the other hand, the space occupied by the original doc will be free up. This is kept tracked by a list of free list of different size.

As we can imagine holes will be created over time as objects are created, deleted or modified, this fragmentation will hurt performance as less data is being read/write per disk I/O. Therefore, we need to run the “compact” command periodically, which copy the data to a contiguous space. This “compact” operation however is an exclusive operation and has to be done offline. Typically this is done in a replica setting by rotating each member offline one at a time to perform the compaction.

Index are implemented as BTree. Each BTree node contains a number of keys (within this node), as well as pointers to left children BTree nodes of each key.

MongoDB Job Responsibilities

Typical MongoDB job responsibilities include –

  • Design, review and implement enhancements to our MongoDB architecture to improve our performance and scalability.
  • Work closely with development teams to define and implement best practices for using MongoDB within our applications and services.
  • Work closely with the Operations team on DB deployment, data migration, monitoring, analyzing and tuning our MongoDB applications.
  • Assist in the architecture, design and development of our approach to data analytics.
  • Assist in the evaluation, design and implementation of other data technologies, such as ElasticSearch and Postgres, where appropriate.
  • Researches and prescribes the best practices for advanced databases and features.
  • Plans and leads deployment of database software, tools and best practices, including but not limited to MSSQL, NoSQL (MongoDB), Data appliances, Warehouse and related tools.

Benefits to our Global Learners

  • Tekslate services are Student-centered learning.
  • Qualitative & cost effective learning at your pace.
  • Geographical access to learn from any part of the world.

MongoDB Certification

MongoDB Certified developers are individuals with proven MongoDB expertise. MongoDB certifications recognize developers and DBAs with the knowledge needed to build and maintain MongoDB applications. The practical hands-on learning MongoDB Certification questions followed at TekSlate will ensure you get certified in MongoDB Certification.

  • Demand for MongoDB is growing rapidly and having a certification distinguishes you as an expert.
  • For MongoDB certification free, you need not go to a test center, as the exams are available online.
  • You need to prove your technical skills with a qualified associate exam in order to become a MongoDB certified.

There are two levels of MongoDB certification Exam

  • MongoDB Developer Associate
  • MongoDB DBA Associate

Exam Details:

Click here

Click here

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