Duration 3 days – 21 hrs
Overview
The MongoDB Training Course is designed to provide participants with a comprehensive understanding of MongoDB, a leading NoSQL database. This course covers MongoDB’s architecture, data modeling, querying, indexing, replication, and performance optimization. Participants will learn how to set up and manage MongoDB databases, interact with data using CRUD operations, and implement real-world solutions using MongoDB. This hands-on course is ideal for developers, database administrators, and IT professionals who want to leverage the power of NoSQL databases for scalable and high-performance applications.
Objectives
- Understand the core concepts and architecture of MongoDB.
- Perform CRUD (Create, Read, Update, Delete) operations in MongoDB.
- Design and implement efficient data models for MongoDB.
- Configure MongoDB for high availability using replication and sharding.
- Optimize MongoDB performance through indexing and query optimization.
- Secure MongoDB deployments and manage user access control.
- Implement backup and recovery strategies for MongoDB databases.
Audience
- Database Administrators (DBAs)
- Software Developers
- System Architects
- IT Professionals responsible for database management
- Data Engineers
- Anyone interested in learning NoSQL databases
Pre- requisites
- Basic understanding of database concepts.
- Familiarity with JSON and command-line interfaces is helpful but not required.
Course Content
Day 1: Introduction to MongoDB and Data Modeling
- Introduction to NoSQL Databases
- Differences Between NoSQL and Relational Databases
- Key Features and Benefits of MongoDB
- MongoDB Architecture Overview
- Understanding Collections, Documents, and Databases
- BSON Data Format
- Installing and Configuring MongoDB
- CRUD Operations
- Inserting, Updating, and Deleting Documents
- Querying MongoDB with find()
- Bulk Operations and Aggregation Framework
- Hands-On Lab: Basic CRUD Operations
- Creating a MongoDB Database and Performing CRUD Operations
Day 2: Indexing, Aggregation, and Performance Optimization
- Indexes in MongoDB
- Creating and Managing Indexes
- Optimizing Query Performance with Indexes
- Compound Indexes and Text Search
- Data Aggregation
- Using the Aggregation Framework
- Grouping, Filtering, and Sorting Data
- MapReduce and Aggregation Pipelines
- Performance Tuning and Optimization
- Query Optimization Strategies
- Monitoring and Analyzing Performance Metrics
- Tools for MongoDB Performance Monitoring (MongoDB Compass, Profilers)
- Hands-On Lab: Implementing Indexes and Aggregation Pipelines
- Creating Indexes for Faster Query Performance
Day 3: Replication, Sharding, and MongoDB Security
- Replication for High Availability
- Configuring MongoDB Replica Sets
- Managing Replicas and Failover Scenarios
- Sharding for Scalability
- Introduction to Sharding in MongoDB
- Partitioning Data Across Multiple Servers
- Configuring a Sharded Cluster
- Security and User Management
- Authentication and Authorization
- Role-Based Access Control (RBAC)
- Securing MongoDB Deployments (SSL/TLS, Encryption)
- Backup, Recovery, and Monitoring
- Backup Strategies (mongodump, mongorestore)
- Managing MongoDB Logs and Monitoring
- Hands-On Lab: Setting Up Replication and Sharding
- Configuring a Replica Set and Sharding in MongoDB
