This is a very extensive course in MongoDB that is one of the most widely used NoSQL tools in the Big Data domain. Some of the topics that are included in this MongoDB Training are installation of MongoDB, JSON, Data Modeling and Schema Design. You will gain enough expertise in the framework of Data Monitoring, Indexing, and Aggregation.

What you will learn in this Training?
  • Introduction to NoSQL Database system
  • Implementation of JSON/BSON Data Types
  • Scope of NoSQL in real world scenarios
  • The concept of Sharding to learn scalability and availability
  • Perform CRUD Operations to design Schemas
  • Stack, merge, Strsplit functions and implementation
  • Learn about Data Management using MongoDB
  • Database security risk and MongoDB Security Approach
  • MongoDB integration with Java, JasperSoft
  • Work with unstructured data like images, video and log data
Why to choose MongoDB?
  • MongoDB is the most widely used NoSQL database application
  • MongoDB Database Administrator earn attractive package
  • The Hadoop and NoSQL Markets to reach sky high in upcoming years

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 online training course from Prince Tech Solutions will provide you with the right set of skills to work with NoSQL databases in the best companies.


Introduction to NoSQL and MongoDB
  • 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
  • MongoDB Data types
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 & document, MongoDB uses
  • MongoDB Write Concern – Acknowledged
  • Replica Acknowledged
  • Unacknowledged, Journaled, Fsync.
CRUD Operations
  • Understanding CRUD and its functionality
  • CRUD concepts
  • MongoDB Query & Syntax
  • Read and write queries and query optimization
Data Modeling & Schema Design
  • Concepts of data modeling
  • Difference between MongoDB and RDBMS modeling
  • Model tree structure
  • Operational strategies, monitoring and backup
Data Management & Administration
  • Health Check
  • Backup
  • Recovery
  • Database sharding and profiling
  • Data Import/Export
  • Performance tuning
Data Indexing and Aggregation
  • Concepts of data aggregation and types
  • Data indexing concepts
  • Properties and variations
MongoDB Security
  • Understanding database security risks
  • MongoDB security concept and security approach
  • 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
  • Understanding GridFS MongoDB file system for storing data