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
			
													
												
							

								
							
			 Complete, updated list.  it will store complicated structures easily, fetch the info more accurately.  MongoDB works with wealthy JSON Documents, supports a robust query language, Supports aggregations and different trendy use-cases similar to geo-based search, graph search, and text search.  the two situations that it addresses specifically are indexes that don’t work into memory and write-heavy data.  MongoDB might be a document-based, distributed database designed for modern application developers.  it's more relevant these days than ever for cloud-native applications. MongoDB, also called the NoSQL database program could be a free and open-source database program that uses JSON-like documents with schemas.  Any organization has this database to store dynamic data in the cloud and on-premises environments.  The CRUD operations are related to many further choices.  key-value pairs.