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
- Since 2001, Making IT Experts by Experts
- Duration: 90 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Armidale
- Mobile App Develpment Courses in Armidale
- Website Design Courses in Armidale
- Networking and Security Courses in Armidale
- Digital Marketing (SEO) Courses in Armidale
- Graphics Training Courses in Armidale
- Cloud Computing Courses in Armidale
- Mean Stack Development Courses in Armidale
- Python Full Packages Courses in Armidale
- Animation & Video Editing Courses in Armidale
- Mern Stack Development Courses in Armidale
Course Highlights
Featured Courses
built-in scaling may be a must-have feature of many organizations, as you adapt to an ever-changing market. MongoDB might be a document-based, distributed database designed for modern application developers. Its NoSQL information works with knowledge very efficiently. It stores knowledge in document format to alter any range of records, add or delete existing fields within the table. data sharding in MongoDB supports storing data across many machines to boost the performance of large-scale databases. we teach you how to unleash the facility of MongoDB in incorporating data, performing real-time analytics, managing content, other functions. you can experiment with database structures simply just wouldn’t be able to attain in SQL and other relative choices. MongoDB could be a collection of documents, it contains a group of key-value pairs. this will be possible with MongoDB, which can be as versatile because it's powerful. It supports replication; if the first server goes down throughout a transaction, then the secondary server handles the transaction without human interaction.
