MongoDB Training by Experts
Our Training Process

MongoDB - Syllabus, Fees & Duration
Module 1: Introduction to NoSQL
- What Is NoSQL?
 - Why NoSQL databases are required
 - Types of NoSQL Database
 - NoSQL vs SQL Comparison
 - ACID & BASE Property
 - CAP Theorem
 - Benefits of NoSQL databases
 - Installation
 - Start and Stop the MongoDB process
 
Module 2: MongoDB Architecture
- Document, Collection, Databases
 - JSON and BSON
 - Storage Engines
 - Read Path
 - Journaling
 - Write Path
 - Working Set
 - Capped Collection
 - Oplog collection
 - TTL Index
 - GridFS
 
Module 3: CRUD Operations
- MongoDB Data Types
 - Inserting, Update, Deleting the documents
 - Querying the documents
 - Bulk insert operation
 - Updating multiple document
 - Limiting documents
 - Filtering documents
 
Module 4: Schema Design and Data modeling
- Dynamic Schema
 - What is Data modeling?
 - RDBMS and MongoDB Data modeling difference
 - Embedding Document
 - Reference Document
 
Module 5: Indexes
- Index concepts in MongoDB
 - Types of indexes
 - Indexes and its use cases
 - Creating Indexes
 - Managing Indexes
 - Index strategies
 
Module 6: Database Administration in MongoDB
- Database status
 - Troubleshooting issues
 - Current Operations
 - Rotating log files
 - Users and Roles
 - Copy and Clone database
 - DB and Collection Stats
 - Explain plan
 - Profiling
 - Changing configuration files
 - Upgrading the database
 
Module 7: MongoDB: Backup and Security
- Concept of backups
 - mongoexport/mongoimport
 - mongodump/mongorestore
 - Oplog backups
 - LVM Backups
 - Backups using MMS/Ops Manager
 - Purpose of security
 - Authentication and authorization
 - Role based access control
 
Module 8: Replication in MongoDB
- Concept of replication
 - ReplicaSet member roles
 - Voting and Electing primary
 - Role of Oplog in replication
 - Read and Write Concern
 - Arbiter,Hidden and Delayed replica node
 - Priority settings
 - Replicaset nodes health check
 - Concept of resyncing the nodes
 - Rollbacks during failover
 - Keyfile authentication
 
Module 9: MongoDB Scalability
- Concept of Scalability
 - Sharding concept
 - Shardkey and Chunks
 - Choosing shardkey
 - Sharding components
 - Types of Sharding
 - Balanced data distribution
 - Sharded and Non-sharded collection
 - Sharded Replicaset
 - Tag aware sharding
 
Module 10: MongoDB Monitoring and Other Tools
- MMS Manager
 - Ops Manager
 - Mongo utility commands
 - Mongo developer tools
 - MongoDB Atlas
 - MongoDB client drivers
 
This syllabus is not final and can be customized as per needs/updates
			
													
												
							

								
							
			 the two situations that it addresses specifically are indexes that don’t work into memory and write-heavy data.  It provides high performance, high accessibility, and automatic scaling to provide effective assortment Operations.  the globe is on the brink of an information overload, and large databases are required to store and manipulate this information.  The CRUD operations are related to many further choices.  Complete, updated list.  we teach you how to unleash the facility of MongoDB in incorporating data, performing real-time analytics, managing content, other functions.  These operations when combined with further choices provide nice results.  key-value pairs.  MongoDB could be a collection of documents, it contains a group of key-value pairs.  working with MongoDB NoSQL information is much easier than in operation with any relational database.