| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Mongo DB
Course |
3 Months |
60 |
36,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Mongo DB Training Certification Course
- MongoDB is a NoSQL database. It stores data in JSON-like format. It is easy and flexible to use.
- Learn how to download MongoDB. Set it up on your computer. Start using it for practice.
- Understand create, read, update, delete. These are called CRUD operations. They help manage your data.
- Data is stored in documents. Documents are grouped in collections. They work like tables in SQL.
- Learn to search and filter data. Use simple queries to find records. It makes data handling easy.
- Indexes make search faster. Aggregation helps analyze data. Both improve performance.
- Build a small MongoDB project. Store real data and test queries. Learn by doing hands-on work.
Advantages of Learning Mongo DB
- MongoDB is simple to understand. No complex rules like SQL. Best for beginners.
- It works very quickly. Stores data in JSON format. Gives results faster.
- You can store any type of data. No need for fixed tables. Very easy to update.
- It handles big data easily. Can grow with your project. Perfect for large apps.
- Free to use and share. No license needed. Saves your money.
- Supports Java, Python, and more. Easy for developers. Fits all types of projects.
- Used by big companies. Gives good job chances. Boosts your career.
Mango DB Training Certification Course Outline
Learn what MongoDB is and why it is used to store data. Understand how to create, read, update, and delete data easily. Know how collections and documents work instead of tables. Practice using MongoDB to handle real-world data projects.
Module 1:Replication and High Availability
- Configuring replication sets
- Managing primary and secondary nodes
- Replica set members and quorum
- Read and write concerns
- Failover and recovery strategies
Module 2:Sharding
- Understanding sharding architecture
- Configuring and managing sharded clusters
- Shard keys and their impact on performance
- Balancing data across shards
- Managing sharded collections
Module 3:Indexes and Query Optimization
- Advanced index strategies (compound, geospatial, text, TTL, sparse indexes)
- Query performance tuning and explain plans
- Index management and maintenance
- Data modeling for high performance
Module 4:Aggregation Framework and Data Analysis
- Complex aggregation pipelines
- Joins, lookup, and unwind operations
- Using $facet, $merge, and $lookup stages
- Advanced analytics and data manipulation techniques
Module 5: Security and Authentication
- Role-based access control (RBAC)
- User management and permissions
- Secure connections with TLS/SSL
- Audit logging and monitoring
.
Module 6:Performance Tuning and Scaling
- Memory management
- Disk I/O optimization
- Optimizing read/write performance
- Tuning cache and memory settings
Module 7:Backup and Disaster Recovery
- Backups (snapshot, incremental, and full backups)
- Restoring and maintaining backup strategies
- High-availability solutions with backup solutions
Module 8:MongoDB in Production Environments
- Cluster administration and maintenance
- Troubleshooting performance issues
- MongoDB configuration management (configuration as code)
.
Module 9:Hands-On Labs & Practical Exercises
- Case Studies: Real-world applications of MongoDB in e-commerce, IoT, analytics, etc.
- Practical Labs: Working on setting up replica sets, sharded clusters, and optimizing performance.
- Projects: Developing MongoDB-based applications with advanced features (e.g., aggregation pipelines, security configurations).
Experience and Inspiring Trainers:
Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.
Real-time Practice and Projects:
By the end of the advanced course, participants will have in-depth knowledge of managing large-scale MongoDB deployments, optimizing database performance, ensuring high availability, and integrating MongoDB with complex systems.
Prerequisites for Mongo DB Course:
- You should know how to use a computer. Typing, saving files, and browsing the internet. These simple skills help you start easily.
- Know what data and databases mean. Like how information is stored in tables. Helps you understand MongoDB better.
- Know little coding like JavaScript or Python. Just simple print statements and loops. It makes learning queries easier.
- Learn what JSON looks like. It’s like data written in key-value pairs. MongoDB uses JSON-style documents.
- You need a working internet. For installing tools and online practice. A web browser helps to access MongoDB Atlas.
- Be good at solving small problems. Think step by step for every task. It helps in writing smart queries.
- Have interest in databases and data. Be ready to try new tools and commands. Curiosity makes learning fun and easy.
- No prior experience in Mongo DB is required, but having these basics will help in grasping concepts faster.
Certificate:
Finally completing this training you will receive a course completion certificate along with internship in Mango DB Training so you can get recognition for your new skills.
Course Material:
Softy Copy notes are briefly included in this course
Support and Careers Advice:
In the end our trainers are always ready to help you for any problems or question regarding Mango DB. We prepare students for facing Interview questions on Mango DB and help them to build their online resume. Our more than 90% students are placed in good MNCs.
“Our Student Success is Our Mission”.
