MongoDB Training


This is a broad course in MongoDB that is perhaps the most generally utilized NoSQL devices in the Big Data space. A portion of the subjects that are remembered for this MongoDB preparing are establishment of MongoDB, JSON, information displaying and outline plan. You will likewise acquire sufficient ability in the structure of information observing, ordering and conglomeration

What will you learn in this MongoDB training?

  1. Introduction to NoSQL database system
  2. Implementation of JSON/BSON data types
  3. Scope of NoSQL in real-world scenarios
  4. Concept of sharding to learn scalability and availability
  5. Performing CRUD operations to design schemas
  6. Stack, Merge, and Strsplit functions and implementation
  7. Data management using MongoDB
  8. Database security risk and MongoDB security approach
  9. MongoDB integration with Java and Jaspersoft
  10. Working with unstructured data like images, videos, and log data

Who should take up this online MongoDB training?

  • Software Developers, Architects, and Administrators
  • Database and Analytics Professionals
  • Project Managers and Trainers
  • System Administrators
  • Research Professionals
  • Those who are looking for a career in Big Data

What are the prerequisites for learning MongoDB?

There is no need for any specific knowledge. A basic idea of databases can be helpful.

Why should you take up MongoDB training?

  • MongoDB is the most widely used NoSQL database application  InfoWorld
  • A MongoDB Database Administrator in the United States can earn $129,000  Indeed
  • Global Big Data market to reach $122 billion in revenue in six years  Frost & Sullivan

MongoDB is a very useful NoSQL database that is being used by some of the biggest corporations in the world. Due to its versatile and scalable nature, it can be used for data sets like social media, videos and so on. This MongoDB certification training course from Edutech Skills will provide you with the right set of skills to work with NoSQL databases in the best companies.

Introduction to NoSQL and MongoDB

RDBMS, types of relational databases, challenges of RDBMS, NoSQL database, its significance, how NoSQL suits Big Data needs, introduction to MongoDB and its advantages, MongoDB installation, JSON features, data types and examples

MongoDB Installation

Installing MongoDB, basic MongoDB commands and operations, MongoChef (MongoGUI) installation and MongoDB data types

Hands-on Exercise: Install MongoDB and install MongoChef (MongoGUI)

Importance of NoSQL

The need for NoSQL, types of NoSQL databases, OLTP, OLAP, limitations of RDBMS, ACID properties, CAP Theorem, Base property, learning about JSON/BSON, database collection and documentation, MongoDB uses, MongoDB write concern—acknowledged, replica acknowledged, unacknowledged, journaled—and Fsync

Hands-on Exercise: Write a JSON document

CRUD Operations

Understanding CRUD and its functionality, CRUD concepts, MongoDB query and syntax and read and write queries and query optimization

Hands-on Exercise: Use insert query to create a data entry, use find query to read data, use update and replace queries to update and use delete query operations on a DB file

Data Modeling and Schema Design

Concepts of data modelling, difference between MongoDB and RDBMS modelling, model tree structure, operational strategies, monitoring and backup

Hands-on Exercise: Write a data model tree structure for a family hierarchy

Data Management and Administration

In this module, you will learn MongoDB® Administration activities such as health check, backup, recovery, database sharding and profiling, data import/export, performance tuning, etc.

Hands-on Exercise: Use shard key and hashed shard keys, perform backup and recovery of a dummy dataset, import data from a CSV file and export data to a CSV file

Data Indexing and Aggregation

Concepts of data aggregation and types and data indexing concepts, properties and variations

Hands-on Exercise: Do aggregation using pipeline, sort, skip and limit and create index on data using single key and using multi-key

MongoDB Security

Understanding database security risks, MongoDB security concept and security approach and MongoDB integration with Java and Robomongo

Hands-on Exercise: MongoDB integration with Java and Robomongo

Working with Unstructured Data

Implementing techniques to work with variety of unstructured data like images, videos, log data and others and understanding GridFS MongoDB file system for storing data

Hands-on Exercise: Work with variety of unstructured data like images, videos, log data and others