MongoDB Training is a practical program designed to help participants build a strong foundation in NoSQL database technology and document-oriented data management. The course introduces learners to MongoDB’s flexible approach to storing and managing data while developing the practical skills needed to work with databases for modern applications.
Duration 3 days – 21 hrs
Overview
Learning 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
